Introduction to Conda
James Ashmore
23 September, 2022
1 Introduction
Conda is an open source package management system and environment management system for installing multiple versions of software packages and their dependencies and switching easily between them. It works on Linux, OS X and Windows, and was created for Python programs but can package and distribute any software.
2 Objectives
3 Tutorial
3.1 Installing conda
The first thing we need to do is install the conda package manager. There are actually two versions of the package manager, one is called anaconda and the other is called miniconda. Anaconda includes the conda package manager and 150 of the most popular data science packages. Miniconda on the other hand comes with just a handful of these packages. This is the better option for us as we don’t really need all of those data science packages. You can download the Miniconda installer from the conda website, however we are going to do it from the command line instead.
Download the Miniconda installer for Linux:
bash
curl -s -L https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh > $HOME/miniconda-installer.shRun the installer without manual intervention:
bash
# Batch or 'silent' mode
bash $HOME/miniconda-installer.sh -b -p $HOME/miniconda## PREFIX=/Users/James/miniconda
## Unpacking payload ...
##
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Extracting : openssl-1.1.1n-hca72f7f_0.conda: 3%|▎ | 1/36 [00:00<00:15, 2.25it/s]
Extracting : certifi-2021.10.8-py39hecd8cb5_2.conda: 6%|▌ | 2/36 [00:00<00:15, 2.25it/s]
Extracting : conda-package-handling-1.8.1-py39hca72f7f_0.conda: 8%|▊ | 3/36 [00:00<00:14, 2.25it/s]
Extracting : libffi-3.3-hb1e8313_2.conda: 11%|█ | 4/36 [00:00<00:14, 2.25it/s]
Extracting : ruamel_yaml-0.15.100-py39h9ed2024_0.conda: 14%|█▍ | 5/36 [00:00<00:13, 2.25it/s]
Extracting : requests-2.27.1-pyhd3eb1b0_0.conda: 17%|█▋ | 6/36 [00:00<00:13, 2.25it/s]
Extracting : ca-certificates-2022.3.29-hecd8cb5_1.conda: 19%|█▉ | 7/36 [00:00<00:12, 2.25it/s]
Extracting : pysocks-1.7.1-py39hecd8cb5_0.conda: 22%|██▏ | 8/36 [00:00<00:12, 2.25it/s]
Extracting : zlib-1.2.12-h4dc903c_1.conda: 25%|██▌ | 9/36 [00:00<00:12, 2.25it/s]
Extracting : zlib-1.2.12-h4dc903c_1.conda: 28%|██▊ | 10/36 [00:00<00:01, 22.18it/s]
Extracting : six-1.16.0-pyhd3eb1b0_1.conda: 28%|██▊ | 10/36 [00:00<00:01, 22.18it/s]
Extracting : ncurses-6.3-hca72f7f_2.conda: 31%|███ | 11/36 [00:01<00:01, 22.18it/s]
Extracting : colorama-0.4.4-pyhd3eb1b0_0.conda: 33%|███▎ | 12/36 [00:01<00:01, 22.18it/s]
Extracting : wheel-0.37.1-pyhd3eb1b0_0.conda: 36%|███▌ | 13/36 [00:01<00:01, 22.18it/s]
Extracting : brotlipy-0.7.0-py39h9ed2024_1003.conda: 39%|███▉ | 14/36 [00:01<00:00, 22.18it/s]
Extracting : brotlipy-0.7.0-py39h9ed2024_1003.conda: 42%|████▏ | 15/36 [00:01<00:02, 8.05it/s]
Extracting : charset-normalizer-2.0.4-pyhd3eb1b0_0.conda: 42%|████▏ | 15/36 [00:01<00:02, 8.05it/s]
Extracting : tk-8.6.11-h7bc2e8c_0.conda: 44%|████▍ | 16/36 [00:01<00:02, 8.05it/s]
Extracting : pycosat-0.6.3-py39h9ed2024_0.conda: 47%|████▋ | 17/36 [00:01<00:02, 8.05it/s]
Extracting : sqlite-3.38.2-h707629a_0.conda: 50%|█████ | 18/36 [00:01<00:02, 8.05it/s]
Extracting : readline-8.1.2-hca72f7f_1.conda: 53%|█████▎ | 19/36 [00:01<00:02, 8.05it/s]
Extracting : pycparser-2.21-pyhd3eb1b0_0.conda: 56%|█████▌ | 20/36 [00:01<00:01, 8.05it/s]
Extracting : python-3.9.12-hdfd78df_0.conda: 58%|█████▊ | 21/36 [00:01<00:01, 8.05it/s]
Extracting : python-3.9.12-hdfd78df_0.conda: 61%|██████ | 22/36 [00:01<00:01, 12.45it/s]
Extracting : pyopenssl-22.0.0-pyhd3eb1b0_0.conda: 61%|██████ | 22/36 [00:01<00:01, 12.45it/s]
Extracting : pip-21.2.4-py39hecd8cb5_0.conda: 64%|██████▍ | 23/36 [00:01<00:01, 12.45it/s]
Extracting : conda-4.12.0-py39hecd8cb5_0.conda: 67%|██████▋ | 24/36 [00:02<00:00, 12.45it/s]
Extracting : conda-4.12.0-py39hecd8cb5_0.conda: 69%|██████▉ | 25/36 [00:02<00:00, 13.70it/s]
Extracting : cryptography-36.0.0-py39hf6deb26_0.conda: 69%|██████▉ | 25/36 [00:02<00:00, 13.70it/s]
Extracting : urllib3-1.26.8-pyhd3eb1b0_0.conda: 72%|███████▏ | 26/36 [00:02<00:00, 13.70it/s]
Extracting : python.app-3-py39hca72f7f_0.conda: 75%|███████▌ | 27/36 [00:02<00:00, 13.70it/s]
Extracting : conda-content-trust-0.1.1-pyhd3eb1b0_0.conda: 78%|███████▊ | 28/36 [00:02<00:00, 13.70it/s]
Extracting : idna-3.3-pyhd3eb1b0_0.conda: 81%|████████ | 29/36 [00:02<00:00, 13.70it/s]
Extracting : tzdata-2022a-hda174b7_0.conda: 83%|████████▎ | 30/36 [00:02<00:00, 13.70it/s]
Extracting : xz-5.2.5-h1de35cc_0.conda: 86%|████████▌ | 31/36 [00:02<00:00, 13.70it/s]
Extracting : libcxx-12.0.0-h2f01273_0.conda: 89%|████████▉ | 32/36 [00:02<00:00, 13.70it/s]
Extracting : yaml-0.2.5-haf1e3a3_0.conda: 92%|█████████▏| 33/36 [00:02<00:00, 13.70it/s]
Extracting : tqdm-4.63.0-pyhd3eb1b0_0.conda: 94%|█████████▍| 34/36 [00:02<00:00, 13.70it/s]
Extracting : setuptools-61.2.0-py39hecd8cb5_0.conda: 97%|█████████▋| 35/36 [00:02<00:00, 13.70it/s]
Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /Users/James/miniconda
##
## added / updated specs:
## - brotlipy==0.7.0=py39h9ed2024_1003
## - ca-certificates==2022.3.29=hecd8cb5_1
## - certifi==2021.10.8=py39hecd8cb5_2
## - cffi==1.15.0=py39hc55c11b_1
## - charset-normalizer==2.0.4=pyhd3eb1b0_0
## - colorama==0.4.4=pyhd3eb1b0_0
## - conda-content-trust==0.1.1=pyhd3eb1b0_0
## - conda-package-handling==1.8.1=py39hca72f7f_0
## - conda==4.12.0=py39hecd8cb5_0
## - cryptography==36.0.0=py39hf6deb26_0
## - idna==3.3=pyhd3eb1b0_0
## - libcxx==12.0.0=h2f01273_0
## - libffi==3.3=hb1e8313_2
## - ncurses==6.3=hca72f7f_2
## - openssl==1.1.1n=hca72f7f_0
## - pip==21.2.4=py39hecd8cb5_0
## - pycosat==0.6.3=py39h9ed2024_0
## - pycparser==2.21=pyhd3eb1b0_0
## - pyopenssl==22.0.0=pyhd3eb1b0_0
## - pysocks==1.7.1=py39hecd8cb5_0
## - python.app==3=py39hca72f7f_0
## - python==3.9.12=hdfd78df_0
## - readline==8.1.2=hca72f7f_1
## - requests==2.27.1=pyhd3eb1b0_0
## - ruamel_yaml==0.15.100=py39h9ed2024_0
## - setuptools==61.2.0=py39hecd8cb5_0
## - six==1.16.0=pyhd3eb1b0_1
## - sqlite==3.38.2=h707629a_0
## - tk==8.6.11=h7bc2e8c_0
## - tqdm==4.63.0=pyhd3eb1b0_0
## - tzdata==2022a=hda174b7_0
## - urllib3==1.26.8=pyhd3eb1b0_0
## - wheel==0.37.1=pyhd3eb1b0_0
## - xz==5.2.5=h1de35cc_0
## - yaml==0.2.5=haf1e3a3_0
## - zlib==1.2.12=h4dc903c_1
##
##
## The following NEW packages will be INSTALLED:
##
## brotlipy pkgs/main/osx-64::brotlipy-0.7.0-py39h9ed2024_1003
## ca-certificates pkgs/main/osx-64::ca-certificates-2022.3.29-hecd8cb5_1
## certifi pkgs/main/osx-64::certifi-2021.10.8-py39hecd8cb5_2
## cffi pkgs/main/osx-64::cffi-1.15.0-py39hc55c11b_1
## charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0
## colorama pkgs/main/noarch::colorama-0.4.4-pyhd3eb1b0_0
## conda pkgs/main/osx-64::conda-4.12.0-py39hecd8cb5_0
## conda-content-tru~ pkgs/main/noarch::conda-content-trust-0.1.1-pyhd3eb1b0_0
## conda-package-han~ pkgs/main/osx-64::conda-package-handling-1.8.1-py39hca72f7f_0
## cryptography pkgs/main/osx-64::cryptography-36.0.0-py39hf6deb26_0
## idna pkgs/main/noarch::idna-3.3-pyhd3eb1b0_0
## libcxx pkgs/main/osx-64::libcxx-12.0.0-h2f01273_0
## libffi pkgs/main/osx-64::libffi-3.3-hb1e8313_2
## ncurses pkgs/main/osx-64::ncurses-6.3-hca72f7f_2
## openssl pkgs/main/osx-64::openssl-1.1.1n-hca72f7f_0
## pip pkgs/main/osx-64::pip-21.2.4-py39hecd8cb5_0
## pycosat pkgs/main/osx-64::pycosat-0.6.3-py39h9ed2024_0
## pycparser pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0
## pyopenssl pkgs/main/noarch::pyopenssl-22.0.0-pyhd3eb1b0_0
## pysocks pkgs/main/osx-64::pysocks-1.7.1-py39hecd8cb5_0
## python pkgs/main/osx-64::python-3.9.12-hdfd78df_0
## python.app pkgs/main/osx-64::python.app-3-py39hca72f7f_0
## readline pkgs/main/osx-64::readline-8.1.2-hca72f7f_1
## requests pkgs/main/noarch::requests-2.27.1-pyhd3eb1b0_0
## ruamel_yaml pkgs/main/osx-64::ruamel_yaml-0.15.100-py39h9ed2024_0
## setuptools pkgs/main/osx-64::setuptools-61.2.0-py39hecd8cb5_0
## six pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_1
## sqlite pkgs/main/osx-64::sqlite-3.38.2-h707629a_0
## tk pkgs/main/osx-64::tk-8.6.11-h7bc2e8c_0
## tqdm pkgs/main/noarch::tqdm-4.63.0-pyhd3eb1b0_0
## tzdata pkgs/main/noarch::tzdata-2022a-hda174b7_0
## urllib3 pkgs/main/noarch::urllib3-1.26.8-pyhd3eb1b0_0
## wheel pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
## xz pkgs/main/osx-64::xz-5.2.5-h1de35cc_0
## yaml pkgs/main/osx-64::yaml-0.2.5-haf1e3a3_0
## zlib pkgs/main/osx-64::zlib-1.2.12-h4dc903c_1
##
##
## Preparing transaction: ...working... done
## Executing transaction: ...working...
## done
## installation finished.Alternatively, run the installer with manual intervention:
bash
# Follow the prompts on the installer screen.
# If you are unsure about any setting, accept the defaults.
bash $HOME/miniconda-installer.shTo finish the installation, source the contents of the .bashrc file:
bash
# Shell script that Bash runs whenever it is started interactively
source $HOME/.bashrc3.2 Setting up channels
After the installation is complete, we need to set up the conda channels. Remember, channels are the locations where packages are stored. To install bioinformatics software, you will need to add the bioconda channel as well as the other channels bioconda depends on, including the conda-forge channel.
Add the bioconda channel and its dependencies to the conda installation:
bash
conda config --add channels defaults
conda config --add channels bioconda
conda config --add channels conda-forge## Warning: 'defaults' already in 'channels' list, moving to the top
## Warning: 'bioconda' already in 'channels' list, moving to the top
## Warning: 'conda-forge' already in 'channels' list, moving to the topIt is important to add them in this order so that the priority is set correctly (that is, conda-forge is highest priority).
3.3 Conda basics
Now that you have conda installed and configured we can start learning some of the basic commands. Use the info command to display information about the current conda installation:
bash
conda info##
## active environment : base
## active env location : /opt/miniconda3
## shell level : 1
## user config file : /Users/James/.condarc
## populated config files : /Users/James/.condarc
## conda version : 4.14.0
## conda-build version : not installed
## python version : 3.9.13.final.0
## virtual packages : __osx=12.6=0
## __unix=0=0
## __archspec=1=x86_64
## base environment : /opt/miniconda3 (writable)
## conda av data dir : /opt/miniconda3/etc/conda
## conda av metadata url : None
## channel URLs : https://conda.anaconda.org/conda-forge/osx-64
## https://conda.anaconda.org/conda-forge/noarch
## https://conda.anaconda.org/bioconda/osx-64
## https://conda.anaconda.org/bioconda/noarch
## https://repo.anaconda.com/pkgs/main/osx-64
## https://repo.anaconda.com/pkgs/main/noarch
## https://repo.anaconda.com/pkgs/r/osx-64
## https://repo.anaconda.com/pkgs/r/noarch
## package cache : /opt/miniconda3/pkgs
## /Users/James/.conda/pkgs
## envs directories : /opt/miniconda3/envs
## /Users/James/.conda/envs
## platform : osx-64
## user-agent : conda/4.14.0 requests/2.28.1 CPython/3.9.13 Darwin/21.6.0 OSX/12.6
## UID:GID : 501:20
## netrc file : None
## offline mode : FalseThere is a lot of useful information listed in the output. For example, what version of conda is installed and what channels conda searches to find a package. Remember, this can be different for each installation so it’s helpful to check this information when you are on a new machine.
Now, lets have a go at searching for some packages. Use the search command to find the scipy package:
bash
conda search scipy## Loading channels: ...working... done
## # Name Version Build Channel
## scipy 0.17.1 np110py27_blas_openblas_200 conda-forge
## scipy 0.17.1 np110py27_blas_openblas_201 conda-forge
## scipy 0.17.1 np110py27_blas_openblas_202 conda-forge
## scipy 0.17.1 np110py27_blas_openblas_203 conda-forge
## scipy 0.17.1 np110py27_blas_openblas_204 conda-forge
## scipy 0.17.1 np110py27_blas_openblas_205 conda-forge
## scipy 0.17.1 np110py34_blas_openblas_200 conda-forge
## scipy 0.17.1 np110py34_blas_openblas_201 conda-forge
## scipy 0.17.1 np110py34_blas_openblas_202 conda-forge
## scipy 0.17.1 np110py34_blas_openblas_203 conda-forge
## scipy 0.17.1 np110py34_blas_openblas_204 conda-forge
## scipy 0.17.1 np110py34_blas_openblas_205 conda-forge
## scipy 0.17.1 np110py35_blas_openblas_200 conda-forge
## scipy 0.17.1 np110py35_blas_openblas_201 conda-forge
## scipy 0.17.1 np110py35_blas_openblas_202 conda-forge
## scipy 0.17.1 np110py35_blas_openblas_203 conda-forge
## scipy 0.17.1 np110py35_blas_openblas_204 conda-forge
## scipy 0.17.1 np110py35_blas_openblas_205 conda-forge
## scipy 0.17.1 np111py27_blas_openblas_200 conda-forge
## scipy 0.17.1 np111py27_blas_openblas_201 conda-forge
## scipy 0.17.1 np111py27_blas_openblas_202 conda-forge
## scipy 0.17.1 np111py27_blas_openblas_203 conda-forge
## scipy 0.17.1 np111py27_blas_openblas_204 conda-forge
## scipy 0.17.1 np111py27_blas_openblas_205 conda-forge
## scipy 0.17.1 np111py34_blas_openblas_200 conda-forge
## scipy 0.17.1 np111py34_blas_openblas_201 conda-forge
## scipy 0.17.1 np111py34_blas_openblas_202 conda-forge
## scipy 0.17.1 np111py34_blas_openblas_203 conda-forge
## scipy 0.17.1 np111py34_blas_openblas_204 conda-forge
## scipy 0.17.1 np111py34_blas_openblas_205 conda-forge
## scipy 0.17.1 np111py35_blas_openblas_200 conda-forge
## scipy 0.17.1 np111py35_blas_openblas_201 conda-forge
## scipy 0.17.1 np111py35_blas_openblas_202 conda-forge
## scipy 0.17.1 np111py35_blas_openblas_203 conda-forge
## scipy 0.17.1 np111py35_blas_openblas_204 conda-forge
## scipy 0.17.1 np111py35_blas_openblas_205 conda-forge
## scipy 0.18.0 np110py27_blas_openblas_200 conda-forge
## scipy 0.18.0 np110py27_blas_openblas_201 conda-forge
## scipy 0.18.0 np110py27_blas_openblas_202 conda-forge
## scipy 0.18.0 np110py34_blas_openblas_200 conda-forge
## scipy 0.18.0 np110py34_blas_openblas_201 conda-forge
## scipy 0.18.0 np110py34_blas_openblas_202 conda-forge
## scipy 0.18.0 np110py35_blas_openblas_200 conda-forge
## scipy 0.18.0 np110py35_blas_openblas_201 conda-forge
## scipy 0.18.0 np110py35_blas_openblas_202 conda-forge
## scipy 0.18.0 np111py27_blas_openblas_200 conda-forge
## scipy 0.18.0 np111py27_blas_openblas_201 conda-forge
## scipy 0.18.0 np111py27_blas_openblas_202 conda-forge
## scipy 0.18.0 np111py34_blas_openblas_200 conda-forge
## scipy 0.18.0 np111py34_blas_openblas_201 conda-forge
## scipy 0.18.0 np111py34_blas_openblas_202 conda-forge
## scipy 0.18.0 np111py35_blas_openblas_200 conda-forge
## scipy 0.18.0 np111py35_blas_openblas_201 conda-forge
## scipy 0.18.0 np111py35_blas_openblas_202 conda-forge
## scipy 0.18.1 np110py27_blas_openblas_200 conda-forge
## scipy 0.18.1 np110py27_blas_openblas_201 conda-forge
## scipy 0.18.1 np110py34_blas_openblas_200 conda-forge
## scipy 0.18.1 np110py34_blas_openblas_201 conda-forge
## scipy 0.18.1 np110py35_blas_openblas_200 conda-forge
## scipy 0.18.1 np110py35_blas_openblas_201 conda-forge
## scipy 0.18.1 np110py36_blas_openblas_201 conda-forge
## scipy 0.18.1 np111py27_blas_openblas_200 conda-forge
## scipy 0.18.1 np111py27_blas_openblas_201 conda-forge
## scipy 0.18.1 np111py34_blas_openblas_200 conda-forge
## scipy 0.18.1 np111py34_blas_openblas_201 conda-forge
## scipy 0.18.1 np111py35_blas_openblas_200 conda-forge
## scipy 0.18.1 np111py35_blas_openblas_201 conda-forge
## scipy 0.18.1 np111py36_blas_openblas_201 conda-forge
## scipy 0.18.1 np112py27_blas_openblas_201 conda-forge
## scipy 0.18.1 np112py35_blas_openblas_201 conda-forge
## scipy 0.18.1 np112py36_blas_openblas_201 conda-forge
## scipy 0.19.0 np111py27_blas_openblas_200 conda-forge
## scipy 0.19.0 np111py27_blas_openblas_201 conda-forge
## scipy 0.19.0 np111py27_blas_openblas_202 conda-forge
## scipy 0.19.0 np111py35_blas_openblas_200 conda-forge
## scipy 0.19.0 np111py35_blas_openblas_201 conda-forge
## scipy 0.19.0 np111py35_blas_openblas_202 conda-forge
## scipy 0.19.0 np111py36_blas_openblas_200 conda-forge
## scipy 0.19.0 np111py36_blas_openblas_201 conda-forge
## scipy 0.19.0 np111py36_blas_openblas_202 conda-forge
## scipy 0.19.0 np112py27_blas_openblas_200 conda-forge
## scipy 0.19.0 np112py27_blas_openblas_201 conda-forge
## scipy 0.19.0 np112py27_blas_openblas_202 conda-forge
## scipy 0.19.0 np112py35_blas_openblas_200 conda-forge
## scipy 0.19.0 np112py35_blas_openblas_201 conda-forge
## scipy 0.19.0 np112py35_blas_openblas_202 conda-forge
## scipy 0.19.0 np112py36_blas_openblas_200 conda-forge
## scipy 0.19.0 np112py36_blas_openblas_201 conda-forge
## scipy 0.19.0 np112py36_blas_openblas_202 conda-forge
## scipy 0.19.0 np113py27_blas_openblas_202 conda-forge
## scipy 0.19.0 np113py35_blas_openblas_202 conda-forge
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## scipy 1.7.3 py37hdae636d_0 conda-forge
## scipy 1.7.3 py37hfb86763_0 pkgs/main
## scipy 1.7.3 py38h0ed0bf1_2 pkgs/main
## scipy 1.7.3 py38h214d14d_2 pkgs/main
## scipy 1.7.3 py38h8c7af03_0 pkgs/main
## scipy 1.7.3 py38hd329d04_0 conda-forge
## scipy 1.7.3 py38hfb86763_0 pkgs/main
## scipy 1.7.3 py39h056f1c0_0 conda-forge
## scipy 1.7.3 py39h0ed0bf1_2 pkgs/main
## scipy 1.7.3 py39h214d14d_2 pkgs/main
## scipy 1.7.3 py39h8c7af03_0 pkgs/main
## scipy 1.7.3 py39hfb86763_0 pkgs/main
## scipy 1.8.0 py310h47774c9_0 conda-forge
## scipy 1.8.0 py310h47774c9_1 conda-forge
## scipy 1.8.0 py38hd329d04_0 conda-forge
## scipy 1.8.0 py38hd329d04_1 conda-forge
## scipy 1.8.0 py39h056f1c0_0 conda-forge
## scipy 1.8.0 py39h056f1c0_1 conda-forge
## scipy 1.8.1 py310h1f9c157_0 conda-forge
## scipy 1.8.1 py310h70707f4_2 conda-forge
## scipy 1.8.1 py38h2c99f22_0 conda-forge
## scipy 1.8.1 py38h8fa3b32_2 conda-forge
## scipy 1.8.1 py38hb261484_2 conda-forge
## scipy 1.8.1 py39h295011a_2 conda-forge
## scipy 1.8.1 py39h29d19b3_2 conda-forge
## scipy 1.8.1 py39hfa1a3ab_0 conda-forge
## scipy 1.9.0 py310h70707f4_0 conda-forge
## scipy 1.9.0 py38hb261484_0 conda-forge
## scipy 1.9.0 py39h29d19b3_0 conda-forge
## scipy 1.9.1 py310h240c617_0 conda-forge
## scipy 1.9.1 py38hb5a21b1_0 conda-forge
## scipy 1.9.1 py39h9488793_0 conda-forgeThe command outputs all of the versions of the scipy package it can find across all of the channels. We can narrow the search down by specifying a particular version number:
bash
conda search scipy=1.1.0## Loading channels: ...working... done
## # Name Version Build Channel
## scipy 1.1.0 py27_blas_openblas_200 conda-forge
## scipy 1.1.0 py27_blas_openblash4251c03_1202 conda-forge
## scipy 1.1.0 py27_blas_openblash7943236_201 conda-forge
## scipy 1.1.0 py27_blas_openblashb06ca3d_202 conda-forge
## scipy 1.1.0 py27_blas_openblashd3ea46f_201 conda-forge
## scipy 1.1.0 py27_nomklh7cd7d8e_0 pkgs/main
## scipy 1.1.0 py27_nomklhc0c9f2f_0 pkgs/main
## scipy 1.1.0 py27h1410ff5_2 pkgs/main
## scipy 1.1.0 py27h1a1e112_1 pkgs/main
## scipy 1.1.0 py27h1a1e112_2 pkgs/main
## scipy 1.1.0 py27h28f7352_1 pkgs/main
## scipy 1.1.0 py27hcaad992_0 pkgs/main
## scipy 1.1.0 py27hf1f7d93_0 pkgs/main
## scipy 1.1.0 py27hf41a071_1 pkgs/main
## scipy 1.1.0 py27hf5b7bf4_0 pkgs/main
## scipy 1.1.0 py35_blas_openblas_200 conda-forge
## scipy 1.1.0 py35_blas_openblash7943236_201 conda-forge
## scipy 1.1.0 py35_blas_openblashd3ea46f_201 conda-forge
## scipy 1.1.0 py35_nomklhc0c9f2f_0 pkgs/main
## scipy 1.1.0 py35h1a1e112_1 pkgs/main
## scipy 1.1.0 py35h28f7352_1 pkgs/main
## scipy 1.1.0 py35hcaad992_0 pkgs/main
## scipy 1.1.0 py35hf41a071_1 pkgs/main
## scipy 1.1.0 py36_blas_openblas_200 conda-forge
## scipy 1.1.0 py36_blas_openblash4251c03_1202 conda-forge
## scipy 1.1.0 py36_blas_openblash7943236_201 conda-forge
## scipy 1.1.0 py36_blas_openblashb06ca3d_202 conda-forge
## scipy 1.1.0 py36_blas_openblashd3ea46f_201 conda-forge
## scipy 1.1.0 py36_nomklh7cd7d8e_0 pkgs/main
## scipy 1.1.0 py36_nomklhc0c9f2f_0 pkgs/main
## scipy 1.1.0 py36h1410ff5_2 pkgs/main
## scipy 1.1.0 py36h1a1e112_1 pkgs/main
## scipy 1.1.0 py36h1a1e112_2 pkgs/main
## scipy 1.1.0 py36h28f7352_1 pkgs/main
## scipy 1.1.0 py36hcaad992_0 pkgs/main
## scipy 1.1.0 py36hf1f7d93_0 pkgs/main
## scipy 1.1.0 py36hf41a071_1 pkgs/main
## scipy 1.1.0 py37_blas_openblash4251c03_1202 conda-forge
## scipy 1.1.0 py37_blas_openblash7943236_201 conda-forge
## scipy 1.1.0 py37_blas_openblashb06ca3d_202 conda-forge
## scipy 1.1.0 py37_nomklh7cd7d8e_0 pkgs/main
## scipy 1.1.0 py37h1410ff5_2 pkgs/main
## scipy 1.1.0 py37h1a1e112_1 pkgs/main
## scipy 1.1.0 py37h1a1e112_2 pkgs/main
## scipy 1.1.0 py37h28f7352_1 pkgs/main
## scipy 1.1.0 py37hf1f7d93_0 pkgs/main
## scipy 1.1.0 py37hf41a071_1 pkgs/main
## scipy 1.1.0 py37hf5b7bf4_0 pkgs/mainOkay, lets try to install our first software package! Packages are installed using the obviously named install command. The packages you want to install should be listed on the command line, separated by a single whitespace character. For example, to install the scipy and numpy packages:
bash
# Do not ask for confirmation (-y)
conda install --yes scipy numpy## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## # All requested packages already installed.
##
## Retrieving notices: ...working... doneAt this point you may be wondering where scipy and numpy were installed. We haven’t created an environment yet, so where did conda install these packages? Actually, once conda is installed a default environment is created which is called the ‘base’ environment. When we use the install command outside of a specified environment, conda will install the packages into the ‘base’ environment. We do not suggest you make a habit of this! The reason is that if something breaks in the ‘base’ environment then you will have to uninstall and re-install conda from scratch. Instead, always create a new environment for the software or collection of software you want to have installed.
3.4 Using environments
As we mentioned previously, conda allows you to create separate environments containing files, packages, and their dependencies. The advantage of using environments is that you can install multiple versions of the same software. This is important because some bioinformatics software requires specific versions of tools and libraries which may be incompatible with other software you already have installed. To create a named environment, use the create command accordingly.
Create a new environment named ‘bioinfo’ and install Python 3.6:
bash
conda create --yes --name bioinfo python=3.6## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bioinfo
##
## added / updated specs:
## - python=3.6
##
##
## The following NEW packages will be INSTALLED:
##
## ca-certificates conda-forge/osx-64::ca-certificates-2022.9.14-h033912b_0
## certifi conda-forge/osx-64::certifi-2016.9.26-py36_0
## libcxx conda-forge/osx-64::libcxx-14.0.6-hccf4f1f_0
## libffi conda-forge/osx-64::libffi-3.4.2-h0d85af4_5
## libsqlite conda-forge/osx-64::libsqlite-3.39.3-ha978bb4_0
## libzlib conda-forge/osx-64::libzlib-1.2.12-hfd90126_3
## ncurses conda-forge/osx-64::ncurses-6.3-h96cf925_1
## openssl conda-forge/osx-64::openssl-1.1.1q-hfe4f2af_0
## pip conda-forge/noarch::pip-21.2.4-pyhd8ed1ab_0
## python conda-forge/osx-64::python-3.6.15-haf480d7_0_cpython
## python_abi conda-forge/osx-64::python_abi-3.6-2_cp36m
## readline conda-forge/osx-64::readline-8.1.2-h3899abd_0
## setuptools conda-forge/osx-64::setuptools-49.6.0-py36h79c6626_3
## sqlite conda-forge/osx-64::sqlite-3.39.3-h9ae0607_0
## tk conda-forge/osx-64::tk-8.6.12-h5dbffcc_0
## wheel conda-forge/noarch::wheel-0.37.1-pyhd8ed1ab_0
## xz conda-forge/osx-64::xz-5.2.6-h775f41a_0
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## #
## # To activate this environment, use
## #
## # $ conda activate bioinfo
## #
## # To deactivate an active environment, use
## #
## # $ conda deactivate
##
## Retrieving notices: ...working... doneOnce the environment is created, we need to ‘activate’ it in order to make the software available. You might be wondering what actually happens when we ‘activate’ an environment? To put it simply, conda changes the directories the computer searches for a command. When you type a command at the terminal, the computer looks for a command with that exact name in a number of pre-specified directories. These directories are specified in the PATH environment variable. When an environment is ‘activated’ conda changes the PATH environment variable so that it only searches the ‘activated’ conda environment directory.
Activate the ‘bioinfo’ environment to use it:
bash
conda activate bioinfoInstall some additional packages:
bash
conda install --yes numpy matplotlib## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
## Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source.
## Collecting package metadata (repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bioinfo
##
## added / updated specs:
## - matplotlib
## - numpy
##
##
## The following NEW packages will be INSTALLED:
##
## cycler conda-forge/noarch::cycler-0.11.0-pyhd8ed1ab_0
## freetype conda-forge/osx-64::freetype-2.12.1-h3f81eb7_0
## jpeg conda-forge/osx-64::jpeg-9e-hac89ed1_2
## kiwisolver conda-forge/osx-64::kiwisolver-1.3.1-py36hc61eee1_1
## lcms2 conda-forge/osx-64::lcms2-2.12-h577c468_0
## lerc conda-forge/osx-64::lerc-3.0-he49afe7_0
## libblas conda-forge/osx-64::libblas-3.9.0-16_osx64_openblas
## libcblas conda-forge/osx-64::libcblas-3.9.0-16_osx64_openblas
## libdeflate conda-forge/osx-64::libdeflate-1.10-h0d85af4_0
## libgfortran conda-forge/osx-64::libgfortran-5.0.0-10_4_0_h97931a8_25
## libgfortran5 conda-forge/osx-64::libgfortran5-11.3.0-h082f757_25
## liblapack conda-forge/osx-64::liblapack-3.9.0-16_osx64_openblas
## libopenblas conda-forge/osx-64::libopenblas-0.3.21-openmp_h429af6e_3
## libpng conda-forge/osx-64::libpng-1.6.38-ha978bb4_0
## libtiff conda-forge/osx-64::libtiff-4.3.0-hfca7e8f_4
## libwebp-base conda-forge/osx-64::libwebp-base-1.2.4-h775f41a_0
## llvm-openmp conda-forge/osx-64::llvm-openmp-14.0.4-ha654fa7_0
## matplotlib conda-forge/osx-64::matplotlib-3.3.4-py36h79c6626_0
## matplotlib-base conda-forge/osx-64::matplotlib-base-3.3.4-py36h4ea959b_0
## numpy conda-forge/osx-64::numpy-1.19.5-py36h08b5fde_2
## olefile conda-forge/noarch::olefile-0.46-pyh9f0ad1d_1
## openjpeg conda-forge/osx-64::openjpeg-2.4.0-h6e7aa92_1
## pillow conda-forge/osx-64::pillow-8.3.2-py36h950f3bb_0
## pyparsing conda-forge/noarch::pyparsing-3.0.9-pyhd8ed1ab_0
## python-dateutil conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0
## six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0
## tornado conda-forge/osx-64::tornado-6.1-py36hfa26744_1
## zlib conda-forge/osx-64::zlib-1.2.12-hfd90126_3
## zstd conda-forge/osx-64::zstd-1.5.2-hfa58983_4
##
## The following packages will be UPDATED:
##
## certifi 2016.9.26-py36_0 --> 2021.5.30-py36h79c6626_0
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## Retrieving notices: ...working... doneList all packages installed in the ‘bioinfo’ environment:
bash
conda list## # packages in environment at /opt/miniconda3/envs/bioinfo:
## #
## # Name Version Build Channel
## ca-certificates 2022.9.14 h033912b_0 conda-forge
## certifi 2021.5.30 py36h79c6626_0 conda-forge
## cycler 0.11.0 pyhd8ed1ab_0 conda-forge
## freetype 2.12.1 h3f81eb7_0 conda-forge
## jpeg 9e hac89ed1_2 conda-forge
## kiwisolver 1.3.1 py36hc61eee1_1 conda-forge
## lcms2 2.12 h577c468_0 conda-forge
## lerc 3.0 he49afe7_0 conda-forge
## libblas 3.9.0 16_osx64_openblas conda-forge
## libcblas 3.9.0 16_osx64_openblas conda-forge
## libcxx 14.0.6 hccf4f1f_0 conda-forge
## libdeflate 1.10 h0d85af4_0 conda-forge
## libffi 3.4.2 h0d85af4_5 conda-forge
## libgfortran 5.0.0 10_4_0_h97931a8_25 conda-forge
## libgfortran5 11.3.0 h082f757_25 conda-forge
## liblapack 3.9.0 16_osx64_openblas conda-forge
## libopenblas 0.3.21 openmp_h429af6e_3 conda-forge
## libpng 1.6.38 ha978bb4_0 conda-forge
## libsqlite 3.39.3 ha978bb4_0 conda-forge
## libtiff 4.3.0 hfca7e8f_4 conda-forge
## libwebp-base 1.2.4 h775f41a_0 conda-forge
## libzlib 1.2.12 hfd90126_3 conda-forge
## llvm-openmp 14.0.4 ha654fa7_0 conda-forge
## matplotlib 3.3.4 py36h79c6626_0 conda-forge
## matplotlib-base 3.3.4 py36h4ea959b_0 conda-forge
## ncurses 6.3 h96cf925_1 conda-forge
## numpy 1.19.5 py36h08b5fde_2 conda-forge
## olefile 0.46 pyh9f0ad1d_1 conda-forge
## openjpeg 2.4.0 h6e7aa92_1 conda-forge
## openssl 1.1.1q hfe4f2af_0 conda-forge
## pillow 8.3.2 py36h950f3bb_0 conda-forge
## pip 21.2.4 pyhd8ed1ab_0 conda-forge
## pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
## python 3.6.15 haf480d7_0_cpython conda-forge
## python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
## python_abi 3.6 2_cp36m conda-forge
## readline 8.1.2 h3899abd_0 conda-forge
## setuptools 49.6.0 py36h79c6626_3 conda-forge
## six 1.16.0 pyh6c4a22f_0 conda-forge
## sqlite 3.39.3 h9ae0607_0 conda-forge
## tk 8.6.12 h5dbffcc_0 conda-forge
## tornado 6.1 py36hfa26744_1 conda-forge
## wheel 0.37.1 pyhd8ed1ab_0 conda-forge
## xz 5.2.6 h775f41a_0 conda-forge
## zlib 1.2.12 hfd90126_3 conda-forge
## zstd 1.5.2 hfa58983_4 conda-forgeDeactivate the environment when you are finished:
bash
conda deactivateLets say we now wanted to install this environment on a different machine. Perhaps your colleague needs to re-run an analysis you did and they need to have the same versions of all the software you used. This is where the environment system really shines. We can make an ‘environment file’ which lists all of the packages in a given environment. This file can then be shared with your colleague who also has conda installed and they can replicate the exact environment on their machine.
Save the ‘bioinfo’ environment to a text file:
bash
conda list --name bioinfo --explicit > bioinfo-env.txtCreate new environment from the ‘bioinfo’ text file:
bash
conda create --yes --name bioinfo-copy --file bioinfo-env.txt## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## Retrieving notices: ...working... doneActivate the ‘bioinfo-copy’ environment to use it:
bash
conda activate bioinfo-copyList all packages installed in the ‘bioinfo-copy’ environment:
bash
conda list## # packages in environment at /opt/miniconda3/envs/bioinfo-copy:
## #
## # Name Version Build Channel
## ca-certificates 2022.9.14 h033912b_0 conda-forge
## certifi 2021.5.30 py36h79c6626_0 conda-forge
## cycler 0.11.0 pyhd8ed1ab_0 conda-forge
## freetype 2.12.1 h3f81eb7_0 conda-forge
## jpeg 9e hac89ed1_2 conda-forge
## kiwisolver 1.3.1 py36hc61eee1_1 conda-forge
## lcms2 2.12 h577c468_0 conda-forge
## lerc 3.0 he49afe7_0 conda-forge
## libblas 3.9.0 16_osx64_openblas conda-forge
## libcblas 3.9.0 16_osx64_openblas conda-forge
## libcxx 14.0.6 hccf4f1f_0 conda-forge
## libdeflate 1.10 h0d85af4_0 conda-forge
## libffi 3.4.2 h0d85af4_5 conda-forge
## libgfortran 5.0.0 10_4_0_h97931a8_25 conda-forge
## libgfortran5 11.3.0 h082f757_25 conda-forge
## liblapack 3.9.0 16_osx64_openblas conda-forge
## libopenblas 0.3.21 openmp_h429af6e_3 conda-forge
## libpng 1.6.38 ha978bb4_0 conda-forge
## libsqlite 3.39.3 ha978bb4_0 conda-forge
## libtiff 4.3.0 hfca7e8f_4 conda-forge
## libwebp-base 1.2.4 h775f41a_0 conda-forge
## libzlib 1.2.12 hfd90126_3 conda-forge
## llvm-openmp 14.0.4 ha654fa7_0 conda-forge
## matplotlib 3.3.4 py36h79c6626_0 conda-forge
## matplotlib-base 3.3.4 py36h4ea959b_0 conda-forge
## ncurses 6.3 h96cf925_1 conda-forge
## numpy 1.19.5 py36h08b5fde_2 conda-forge
## olefile 0.46 pyh9f0ad1d_1 conda-forge
## openjpeg 2.4.0 h6e7aa92_1 conda-forge
## openssl 1.1.1q hfe4f2af_0 conda-forge
## pillow 8.3.2 py36h950f3bb_0 conda-forge
## pip 21.2.4 pyhd8ed1ab_0 conda-forge
## pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
## python 3.6.15 haf480d7_0_cpython conda-forge
## python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
## python_abi 3.6 2_cp36m conda-forge
## readline 8.1.2 h3899abd_0 conda-forge
## setuptools 49.6.0 py36h79c6626_3 conda-forge
## six 1.16.0 pyh6c4a22f_0 conda-forge
## sqlite 3.39.3 h9ae0607_0 conda-forge
## tk 8.6.12 h5dbffcc_0 conda-forge
## tornado 6.1 py36hfa26744_1 conda-forge
## wheel 0.37.1 pyhd8ed1ab_0 conda-forge
## xz 5.2.6 h775f41a_0 conda-forge
## zlib 1.2.12 hfd90126_3 conda-forge
## zstd 1.5.2 hfa58983_4 conda-forgeDeactivate the environment:
bash
conda deactivateDelete the environment file:
bash
rm -f bioinfo-env.txtYou should see that the package versions are exactly the same between the ‘bioinfo’ and ‘bioinfo-copy’ environments. It is good practice to create a new environment for each project. This ensures your work will be reproducible (at least from a software perspective) and colleagues can easily pickup the work afterwords by installing the same environment.
3.5 Finding conda packages
Sometimes you won’t be sure if a package is available from any of channels, so instead you will have to ‘search’ for it by name. You can search for packages using the search command followed by a text query. This approach is helpful because you don’t have to be sure of the exact name - you can use partial matching.
Use conda to search for the ‘scikit-learn’ package:
bash
conda search scikit-learn## Loading channels: ...working... done
## # Name Version Build Channel
## scikit-learn 0.17.1 np110py27_blas_openblas_200 conda-forge
## scikit-learn 0.17.1 np110py27_blas_openblas_201 conda-forge
## scikit-learn 0.17.1 np110py27_blas_openblas_202 conda-forge
## scikit-learn 0.17.1 np110py34_blas_openblas_200 conda-forge
## scikit-learn 0.17.1 np110py34_blas_openblas_201 conda-forge
## scikit-learn 0.17.1 np110py34_blas_openblas_202 conda-forge
## scikit-learn 0.17.1 np110py35_blas_openblas_200 conda-forge
## scikit-learn 0.17.1 np110py35_blas_openblas_201 conda-forge
## scikit-learn 0.17.1 np110py35_blas_openblas_202 conda-forge
## scikit-learn 0.17.1 np111py27_blas_openblas_200 conda-forge
## scikit-learn 0.17.1 np111py27_blas_openblas_201 conda-forge
## scikit-learn 0.17.1 np111py27_blas_openblas_202 conda-forge
## scikit-learn 0.17.1 np111py34_blas_openblas_200 conda-forge
## scikit-learn 0.17.1 np111py34_blas_openblas_201 conda-forge
## scikit-learn 0.17.1 np111py34_blas_openblas_202 conda-forge
## scikit-learn 0.17.1 np111py35_blas_openblas_200 conda-forge
## scikit-learn 0.17.1 np111py35_blas_openblas_201 conda-forge
## scikit-learn 0.17.1 np111py35_blas_openblas_202 conda-forge
## scikit-learn 0.18 np110py27_blas_openblas_202 conda-forge
## scikit-learn 0.18 np110py27_blas_openblas_203 conda-forge
## scikit-learn 0.18 np110py34_blas_openblas_202 conda-forge
## scikit-learn 0.18 np110py34_blas_openblas_203 conda-forge
## scikit-learn 0.18 np110py35_blas_openblas_202 conda-forge
## scikit-learn 0.18 np110py35_blas_openblas_203 conda-forge
## scikit-learn 0.18 np111py27_blas_openblas_202 conda-forge
## scikit-learn 0.18 np111py27_blas_openblas_203 conda-forge
## scikit-learn 0.18 np111py34_blas_openblas_202 conda-forge
## scikit-learn 0.18 np111py34_blas_openblas_203 conda-forge
## scikit-learn 0.18 np111py35_blas_openblas_202 conda-forge
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## scikit-learn 1.1.2 py310h3ba92a3_0 conda-forge
## scikit-learn 1.1.2 py38h27a3d75_0 conda-forge
## scikit-learn 1.1.2 py39h8031a56_0 conda-forgeUse conda to search for a package beginning with the word ‘fast’:
bash
conda search 'fast*'## Loading channels: ...working... done
## # Name Version Build Channel
## fast-cdr 1.0.14 h4a8c4bd_1 conda-forge
## fast-cdr 1.0.15 hb1e8313_0 conda-forge
## fast-cdr 1.0.17 h046ec9c_0 conda-forge
## fast-cdr 1.0.18 h1c7c35f_0 conda-forge
## fast-cdr 1.0.19 h1c7c35f_0 conda-forge
## fast-cdr 1.0.20 h1c7c35f_0 conda-forge
## fast-cdr 1.0.21 he49afe7_0 conda-forge
## fast-cdr 1.0.22 he49afe7_0 conda-forge
## fast-cdr 1.0.23 he49afe7_0 conda-forge
## fast-cdr 1.0.24 h96cf925_0 conda-forge
## fast-dds 2.1.0 he2da697_0 conda-forge
## fast-dds 2.2.0 hffb511f_0 conda-forge
## fast-dds 2.3.0 h05990ec_0 conda-forge
## fast-dds 2.3.1 h05990ec_0 conda-forge
## fast-dds 2.3.2 h05990ec_0 conda-forge
## fast-dds 2.3.3 h05990ec_0 conda-forge
## fast-dds 2.3.3 h3ffbeee_1 conda-forge
## fast-dds 2.4.0 h3b4770c_1 conda-forge
## fast-dds 2.4.0 h3ffbeee_0 conda-forge
## fast-dds 2.4.0 h3ffbeee_1 conda-forge
## fast-histogram 0.2.1 np111py27_0 conda-forge
## fast-histogram 0.2.1 np111py35_0 conda-forge
## fast-histogram 0.2.1 np111py36_0 conda-forge
## fast-histogram 0.2.1 np112py27_0 conda-forge
## fast-histogram 0.2.1 np112py35_0 conda-forge
## fast-histogram 0.2.1 np112py36_0 conda-forge
## fast-histogram 0.2.1 np113py27_0 conda-forge
## fast-histogram 0.2.1 np113py35_0 conda-forge
## fast-histogram 0.2.1 np113py36_0 conda-forge
## fast-histogram 0.3 py27_0 conda-forge
## fast-histogram 0.3 py27h917ab60_0 pkgs/main
## fast-histogram 0.3 py35_0 conda-forge
## fast-histogram 0.3 py35h917ab60_0 pkgs/main
## fast-histogram 0.3 py36_0 conda-forge
## fast-histogram 0.3 py36h917ab60_0 pkgs/main
## fast-histogram 0.4 py27_0 conda-forge
## fast-histogram 0.4 py27h1d22016_0 pkgs/main
## fast-histogram 0.4 py27h917ab60_0 pkgs/main
## fast-histogram 0.4 py35_0 conda-forge
## fast-histogram 0.4 py35h917ab60_0 pkgs/main
## fast-histogram 0.4 py36_0 conda-forge
## fast-histogram 0.4 py36h1d22016_0 pkgs/main
## fast-histogram 0.4 py36h917ab60_0 pkgs/main
## fast-histogram 0.4 py37h1d22016_0 pkgs/main
## fast-histogram 0.5 py27h1d22016_1 pkgs/main
## fast-histogram 0.5 py27h24bf2e0_0 conda-forge
## fast-histogram 0.5 py27h7eb728f_1 conda-forge
## fast-histogram 0.5 py27h917ab60_1001 conda-forge
## fast-histogram 0.5 py35h1d22016_1 pkgs/main
## fast-histogram 0.5 py35h24bf2e0_0 conda-forge
## fast-histogram 0.5 py35h7eb728f_1 conda-forge
## fast-histogram 0.5 py36h1d22016_1 pkgs/main
## fast-histogram 0.5 py36h24bf2e0_0 conda-forge
## fast-histogram 0.5 py36h7eb728f_1 conda-forge
## fast-histogram 0.5 py36h917ab60_1001 conda-forge
## fast-histogram 0.5 py37h1d22016_1 pkgs/main
## fast-histogram 0.5 py37h7eb728f_1 conda-forge
## fast-histogram 0.5 py37h917ab60_1001 conda-forge
## fast-histogram 0.6 py27h7eb728f_0 conda-forge
## fast-histogram 0.6 py27h917ab60_1000 conda-forge
## fast-histogram 0.6 py36h7eb728f_0 conda-forge
## fast-histogram 0.6 py36h917ab60_1000 conda-forge
## fast-histogram 0.6 py37h7eb728f_0 conda-forge
## fast-histogram 0.6 py37h917ab60_1000 conda-forge
## fast-histogram 0.7 py27h1d22016_1000 pkgs/main
## fast-histogram 0.7 py27h3b54f70_1000 conda-forge
## fast-histogram 0.7 py27h7eb728f_0 conda-forge
## fast-histogram 0.7 py27h917ab60_1000 conda-forge
## fast-histogram 0.7 py36h1d22016_1000 pkgs/main
## fast-histogram 0.7 py36h3b54f70_1000 conda-forge
## fast-histogram 0.7 py36h7eb728f_0 conda-forge
## fast-histogram 0.7 py36h917ab60_1000 conda-forge
## fast-histogram 0.7 py37h1d22016_1000 pkgs/main
## fast-histogram 0.7 py37h3b54f70_1000 conda-forge
## fast-histogram 0.7 py37h7eb728f_0 conda-forge
## fast-histogram 0.7 py37h917ab60_1000 conda-forge
## fast-histogram 0.7 py38h3b54f70_1000 conda-forge
## fast-histogram 0.8 py36h776bbcc_1000 pkgs/main
## fast-histogram 0.8 py37h776bbcc_1000 pkgs/main
## fast-histogram 0.8 py38h776bbcc_1000 pkgs/main
## fast-histogram 0.9 py310h4e76f89_0 pkgs/main
## fast-histogram 0.9 py36h05cdcba_1 conda-forge
## fast-histogram 0.9 py36h05cdcba_2 conda-forge
## fast-histogram 0.9 py36h8062767_0 conda-forge
## fast-histogram 0.9 py36h8062767_1 conda-forge
## fast-histogram 0.9 py36h8062767_2 conda-forge
## fast-histogram 0.9 py36he3068b8_0 pkgs/main
## fast-histogram 0.9 py36hf1fa96c_0 pkgs/main
## fast-histogram 0.9 py37h57c32b8_0 conda-forge
## fast-histogram 0.9 py37h57c32b8_1 conda-forge
## fast-histogram 0.9 py37h57c32b8_2 conda-forge
## fast-histogram 0.9 py37he3068b8_0 pkgs/main
## fast-histogram 0.9 py37hf1fa96c_0 pkgs/main
## fast-histogram 0.9 py38h174b24a_0 conda-forge
## fast-histogram 0.9 py38h174b24a_1 conda-forge
## fast-histogram 0.9 py38h174b24a_2 conda-forge
## fast-histogram 0.9 py38he3068b8_0 pkgs/main
## fast-histogram 0.9 py38hf1fa96c_0 pkgs/main
## fast-histogram 0.9 py39h49efd1d_2 conda-forge
## fast-histogram 0.9 py39he3068b8_0 pkgs/main
## fast-histogram 0.10 py310h1bbcd0e_1 conda-forge
## fast-histogram 0.10 py310h81f86ea_1 conda-forge
## fast-histogram 0.10 py36h5f094cf_0 conda-forge
## fast-histogram 0.10 py37h032687b_0 conda-forge
## fast-histogram 0.10 py37h032687b_1 conda-forge
## fast-histogram 0.10 py37h4de8ad1_1 conda-forge
## fast-histogram 0.10 py38hbe852b5_0 conda-forge
## fast-histogram 0.10 py38hbe852b5_1 conda-forge
## fast-histogram 0.10 py38hc1426ef_1 conda-forge
## fast-histogram 0.10 py39h15b18c7_1 conda-forge
## fast-histogram 0.10 py39hc89836e_0 conda-forge
## fast-histogram 0.10 py39hc89836e_1 conda-forge
## fast-pt 3.1.0 pyh9f0ad1d_0 conda-forge
## fast3tree 0.4.0 py310h81f86ea_2 conda-forge
## fast3tree 0.4.0 py36hab44bd3_0 conda-forge
## fast3tree 0.4.0 py36hab44bd3_1 conda-forge
## fast3tree 0.4.0 py37h032687b_2 conda-forge
## fast3tree 0.4.0 py37h238668a_0 conda-forge
## fast3tree 0.4.0 py37h238668a_1 conda-forge
## fast3tree 0.4.0 py38h0793694_0 conda-forge
## fast3tree 0.4.0 py38h0793694_1 conda-forge
## fast3tree 0.4.0 py38hbe852b5_2 conda-forge
## fast3tree 0.4.0 py39hc89836e_1 conda-forge
## fast3tree 0.4.0 py39hc89836e_2 conda-forge
## fast5 0.5.6 0 bioconda
## fast5 0.5.8 0 bioconda
## fast5 0.5.9 0 bioconda
## fast5 0.5.10a 0 bioconda
## fast5 0.6.1 0 bioconda
## fast5 0.6.2.p1 0 bioconda
## fast5 0.6.2.p1 1 bioconda
## fast5 0.6.2.p1 2 bioconda
## fast5 0.6.2.p1 3 bioconda
## fast5 0.6.2 0 bioconda
## fast5 0.6.3.p1 0 bioconda
## fast5 0.6.4 0 bioconda
## fast5 0.6.5 0 bioconda
## fast5 0.6.5 1 bioconda
## fast5 0.6.5 2 bioconda
## fast5 0.6.5 hdfd78af_3 bioconda
## fast5-research 1.0.9 np112py27_0 bioconda
## fast5-research 1.0.9 np112py35_0 bioconda
## fast5-research 1.0.9 np112py36_0 bioconda
## fast5-research 1.0.9 pyhc700fe4_1 bioconda
## fast5-research 1.2.8 pyhbdddce8_0 bioconda
## fast5-research 1.2.10 pyhbdddce8_0 bioconda
## fast5-research 1.2.11 pyhbdddce8_0 bioconda
## fast5-research 1.2.15 pyh61c2671_0 bioconda
## fast5-research 1.2.17 pyh61c2671_0 bioconda
## fast5-research 1.2.18 pyh61c2671_0 bioconda
## fast5-research 1.2.19 py_0 bioconda
## fast5-research 1.2.20 py_0 bioconda
## fast5-research 1.2.20 pyh864c0ab_1 bioconda
## fast5-research 1.2.22 pyh864c0ab_0 bioconda
## fast5seek 0.1.0 py35_0 bioconda
## fast5seek 0.1.0 py35_1 bioconda
## fast5seek 0.1.0 py36_0 bioconda
## fast5seek 0.1.0 py36_1 bioconda
## fast5seek 0.1.1 py35_0 bioconda
## fast5seek 0.1.1 py36_0 bioconda
## fast5seek 0.1.1 py_1 bioconda
## fast_dp 1.6.1 py_0 conda-forge
## fast_dp 1.6.2 pyh8c360ce_0 conda-forge
## fast_dp 1.6.2 pyhd8ed1ab_1 conda-forge
## fasta-splitter 0.2.4 1 bioconda
## fasta-splitter 0.2.4 pl5.22.0_0 bioconda
## fasta-splitter 0.2.6 0 bioconda
## fasta-splitter 0.2.6 hdfd78af_1 bioconda
## fasta3 36.3.8 h0b31af3_5 bioconda
## fasta3 36.3.8 h470a237_4 bioconda
## fasta3 36.3.8 ha5712d3_7 bioconda
## fasta3 36.3.8 hb4d813b_6 bioconda
## fasta_ushuffle 0.2 0 bioconda
## fasta_ushuffle 0.2 h01d97ff_2 bioconda
## fasta_ushuffle 0.2 h470a237_1 bioconda
## fasta_ushuffle 0.2 ha5712d3_4 bioconda
## fasta_ushuffle 0.2 hb4d813b_3 bioconda
## fasta_windows 0.2.2 ha5712d3_1 bioconda
## fasta_windows 0.2.2 hb4d813b_0 bioconda
## fasta_windows 0.2.3 ha5712d3_0 bioconda
## fasta_windows 0.2.3 ha5712d3_1 bioconda
## fasta_windows 0.2.4 ha5712d3_0 bioconda
## fasta_windows 0.2.4 ha5712d3_1 bioconda
## fastafunk 0.0.4 pyh3252c3a_0 bioconda
## fastafunk 0.0.9 pyh3252c3a_0 bioconda
## fastafunk 0.1.0 pyh5e36f6f_0 bioconda
## fastafunk 0.1.1 pyh5e36f6f_0 bioconda
## fastafunk 0.1.2 pyh5e36f6f_0 bioconda
## fastaindex 0.11c py27_0 bioconda
## fastaindex 0.11c py27_1 bioconda
## fastaindex 0.11c py27_2 bioconda
## fastaindex 0.11c py_3 bioconda
## fastalite 0.3 py_0 bioconda
## fastani 1.1 h4ef8376_0 bioconda
## fastani 1.1 hbb32179_1 bioconda
## fastani 1.2 h41c106a_0 bioconda
## fastani 1.3 h41c106a_0 bioconda
## fastani 1.31 he69ab0f_0 bioconda
## fastani 1.32 he69ab0f_0 bioconda
## fastani 1.33 h0a26cfa_0 bioconda
## fastani 1.33 h0a26cfa_1 bioconda
## fastapi 0.35.0 py_0 conda-forge
## fastapi 0.36.0 py_0 conda-forge
## fastapi 0.37.0 py_0 conda-forge
## fastapi 0.38.1 py_0 conda-forge
## fastapi 0.42.0 py_0 conda-forge
## fastapi 0.43.0 py_0 conda-forge
## fastapi 0.44.1 py_0 conda-forge
## fastapi 0.45.0 py_0 conda-forge
## fastapi 0.46.0 py_0 conda-forge
## fastapi 0.52.0 py_0 conda-forge
## fastapi 0.54.1 py_0 conda-forge
## fastapi 0.54.2 py_0 conda-forge
## fastapi 0.55.0 py_0 conda-forge
## fastapi 0.56.0 py_0 conda-forge
## fastapi 0.56.1 py_0 conda-forge
## fastapi 0.57.0 py_0 conda-forge
## fastapi 0.58.0 py_0 conda-forge
## fastapi 0.58.1 py_0 conda-forge
## fastapi 0.59.0 py_0 conda-forge
## fastapi 0.60.0 py_0 conda-forge
## fastapi 0.60.2 py_0 conda-forge
## fastapi 0.61.0 py_0 conda-forge
## fastapi 0.61.1 py_0 conda-forge
## fastapi 0.61.2 pyhd8ed1ab_0 conda-forge
## fastapi 0.61.2 pyhd8ed1ab_1 conda-forge
## fastapi 0.62.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.63.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.64.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.65.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.65.1 pyhd8ed1ab_0 conda-forge
## fastapi 0.65.2 pyhd8ed1ab_0 conda-forge
## fastapi 0.65.3 pyhd8ed1ab_0 conda-forge
## fastapi 0.66.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.66.1 pyhd8ed1ab_0 conda-forge
## fastapi 0.67.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.68.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.68.1 pyhd8ed1ab_0 conda-forge
## fastapi 0.68.2 pyhd8ed1ab_0 conda-forge
## fastapi 0.69.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.70.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.70.1 pyhd8ed1ab_0 conda-forge
## fastapi 0.71.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.72.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.73.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.74.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.75.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.75.1 pyhd8ed1ab_0 conda-forge
## fastapi 0.75.2 pyhd8ed1ab_0 conda-forge
## fastapi 0.76.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.77.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.77.1 pyhd8ed1ab_0 conda-forge
## fastapi 0.78.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.79.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.79.1 pyhd8ed1ab_0 conda-forge
## fastapi 0.80.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.81.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.82.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.83.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.84.0 pyhd8ed1ab_0 conda-forge
## fastapi 0.85.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.5.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.6.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.7.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.9.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.10.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.11.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.11.1 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.12.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.13.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.13.1 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.14.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.14.1 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.15.0 pyhd8ed1ab_0 conda-forge
## fastapi-mvc 0.16.0 pyhd8ed1ab_0 conda-forge
## fastapi-offline 1.3.2 pyhd8ed1ab_0 conda-forge
## fastapi-offline 1.3.2 pyhd8ed1ab_1 conda-forge
## fastapi-offline 1.4.0 pyhd8ed1ab_0 conda-forge
## fastapi-offline 1.5.0 pyhd8ed1ab_0 conda-forge
## fastapi-users 8.1.0 pyhd8ed1ab_0 conda-forge
## fastapi-users 8.1.1 pyhd8ed1ab_0 conda-forge
## fastapi-users 8.1.2 pyhd8ed1ab_0 conda-forge
## fastapi-users 8.1.3 pyhd8ed1ab_0 conda-forge
## fastapi-users 8.1.4 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.0.1 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.1.0 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.1.1 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.2.0 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.2.1 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.2.3 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.2.4 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.2.6 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.3.0 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.3.0 pyhd8ed1ab_1 conda-forge
## fastapi-users 9.3.1 pyhd8ed1ab_0 conda-forge
## fastapi-users 9.3.2 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.0.0 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.0.2 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.0.3 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.0.4 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.0.5 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.0.6 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.0.7 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.1.1 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.1.2 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.1.3 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.1.4 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.1.5 pyhd8ed1ab_0 conda-forge
## fastapi-users 10.1.5 pyhd8ed1ab_1 conda-forge
## fastapi-users-db-sqlalchemy 1.1.0 pyhd8ed1ab_0 conda-forge
## fastapi-users-db-sqlalchemy 3.0.0 pyhd8ed1ab_0 conda-forge
## fastapi-users-db-sqlalchemy 3.0.1 pyhd8ed1ab_0 conda-forge
## fastapi-users-db-sqlalchemy 4.0.1 pyhd8ed1ab_0 conda-forge
## fastapi-users-db-sqlalchemy 4.0.2 pyhd8ed1ab_0 conda-forge
## fastapi-users-db-sqlalchemy 4.0.3 pyhd8ed1ab_0 conda-forge
## fastapi_utils 0.2.1 pyhd8ed1ab_0 conda-forge
## fastaptamer 1.0.14 0 bioconda
## fastaptamer 1.0.14 hdfd78af_1 bioconda
## fastavro 0.10.2 py27_0 conda-forge
## fastavro 0.10.2 py34_0 conda-forge
## fastavro 0.10.2 py35_0 conda-forge
## fastavro 0.12.1 py27_0 conda-forge
## fastavro 0.12.1 py35_0 conda-forge
## fastavro 0.12.1 py36_0 conda-forge
## fastavro 0.12.2 py27_0 conda-forge
## fastavro 0.12.2 py35_0 conda-forge
## fastavro 0.12.2 py36_0 conda-forge
## fastavro 0.13.0 py27_0 conda-forge
## fastavro 0.13.0 py35_0 conda-forge
## fastavro 0.13.0 py36_0 conda-forge
## fastavro 0.14.0 py27_0 conda-forge
## fastavro 0.14.0 py35_0 conda-forge
## fastavro 0.14.0 py36_0 conda-forge
## fastavro 0.14.1 py27_0 conda-forge
## fastavro 0.14.1 py35_0 conda-forge
## fastavro 0.14.1 py36_0 conda-forge
## fastavro 0.14.2 py27_0 conda-forge
## fastavro 0.14.2 py35_0 conda-forge
## fastavro 0.14.2 py36_0 conda-forge
## fastavro 0.14.3 py27_0 conda-forge
## fastavro 0.14.3 py27_1 conda-forge
## fastavro 0.14.3 py35_0 conda-forge
## fastavro 0.14.3 py35_1 conda-forge
## fastavro 0.14.3 py36_0 conda-forge
## fastavro 0.14.3 py36_1 conda-forge
## fastavro 0.14.5 py27_1 conda-forge
## fastavro 0.14.5 py35_1 conda-forge
## fastavro 0.14.5 py36_1 conda-forge
## fastavro 0.14.6 py27_1 conda-forge
## fastavro 0.14.6 py35_1 conda-forge
## fastavro 0.14.6 py36_1 conda-forge
## fastavro 0.14.7 py27_1 conda-forge
## fastavro 0.14.7 py35_1 conda-forge
## fastavro 0.14.7 py36_1 conda-forge
## fastavro 0.14.8 py27_1 conda-forge
## fastavro 0.14.8 py35_1 conda-forge
## fastavro 0.14.8 py36_1 conda-forge
## fastavro 0.14.9 py27_1 conda-forge
## fastavro 0.14.9 py35_1 conda-forge
## fastavro 0.14.9 py36_1 conda-forge
## fastavro 0.14.10 py27_1 conda-forge
## fastavro 0.14.10 py35_1 conda-forge
## fastavro 0.14.10 py36_1 conda-forge
## fastavro 0.14.11 py27_1 conda-forge
## fastavro 0.14.11 py35_1 conda-forge
## fastavro 0.14.11 py36_1 conda-forge
## fastavro 0.16.3 py27_1 conda-forge
## fastavro 0.16.3 py35_1 conda-forge
## fastavro 0.16.3 py36_1 conda-forge
## fastavro 0.16.4 py27_1 conda-forge
## fastavro 0.16.4 py35_1 conda-forge
## fastavro 0.16.4 py36_1 conda-forge
## fastavro 0.16.6 py27_1 conda-forge
## fastavro 0.16.6 py35_1 conda-forge
## fastavro 0.16.6 py36_1 conda-forge
## fastavro 0.16.7 py27_1 conda-forge
## fastavro 0.16.7 py35_1 conda-forge
## fastavro 0.16.7 py36_1 conda-forge
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## fastcache 1.0.2 py36_0 conda-forge
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## fastcache 1.0.2 py37h1de35cc_1001 conda-forge
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## fastcache 1.1.0 py310he24745e_3 conda-forge
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## fastcache 1.1.0 py37h271585c_3 conda-forge
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## fastcache 1.1.0 py37h69ee0a8_4 conda-forge
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## fastcache 1.1.0 py38h4d0b108_2 conda-forge
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## fastcache 1.1.0 py38hed1de0f_4 conda-forge
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## fastcache 1.1.0 py39h9ed2024_0 pkgs/main
## fastcache 1.1.0 py39hb5aae12_2 conda-forge
## fastcache 1.1.0 py39hcbf5805_2 conda-forge
## fastcluster 1.1.21 np110py27_0 conda-forge
## fastcluster 1.1.21 np110py34_0 conda-forge
## fastcluster 1.1.21 np110py35_0 conda-forge
## fastcluster 1.1.21 np110py36_0 conda-forge
## fastcluster 1.1.21 np111py27_0 conda-forge
## fastcluster 1.1.21 np111py34_0 conda-forge
## fastcluster 1.1.21 np111py35_0 conda-forge
## fastcluster 1.1.21 np111py36_0 conda-forge
## fastcluster 1.1.21 np112py27_0 conda-forge
## fastcluster 1.1.21 np112py35_0 conda-forge
## fastcluster 1.1.21 np112py36_0 conda-forge
## fastcluster 1.1.23 np111py27_0 conda-forge
## fastcluster 1.1.23 np111py35_0 conda-forge
## fastcluster 1.1.23 np111py36_0 conda-forge
## fastcluster 1.1.23 np112py27_0 conda-forge
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## fastcluster 1.1.26 py39h13df4ff_2 conda-forge
## fastcluster 1.1.26 py39h23ab428_0 pkgs/main
## fastcluster 1.1.26 py39h4d6be9b_3 conda-forge
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## fastcore 1.5.16 pyhd8ed1ab_0 conda-forge
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## fastcore 1.5.18 pyhd8ed1ab_0 conda-forge
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## fastcore 1.5.25 pyhd8ed1ab_0 conda-forge
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## fastds 0.2.2 pyhd8ed1ab_0 conda-forge
## fastds 0.2.3 pyhd8ed1ab_0 conda-forge
## fastds 0.3.0 pyhd8ed1ab_0 conda-forge
## fastds 0.3.1 pyhd8ed1ab_0 conda-forge
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## fastdtw 0.2.0 py27_0 bioconda
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## fastdtw 0.3.2 py35h24bf2e0_0 conda-forge
## fastdtw 0.3.2 py36h0b673f9_1001 conda-forge
## fastdtw 0.3.2 py36h0b673f9_1002 conda-forge
## fastdtw 0.3.2 py36h24bf2e0_0 conda-forge
## fastdtw 0.3.2 py36h24bf2e0_1000 conda-forge
## fastdtw 0.3.2 py36h5ca1d4c_1000 conda-forge
## fastdtw 0.3.2 py36h95af2a2_1001 conda-forge
## fastdtw 0.3.2 py36hac0dd68_1002 conda-forge
## fastdtw 0.3.2 py37h24bf2e0_1000 conda-forge
## fastdtw 0.3.2 py37h43977f1_1001 conda-forge
## fastdtw 0.3.2 py37h5ca1d4c_1000 conda-forge
## fastdtw 0.3.2 py37hc6149b9_1002 conda-forge
## fastdtw 0.3.2 py38h1cdfbd6_1002 conda-forge
## fastdtw 0.3.2 py38h23f93f0_1001 conda-forge
## fastdtw 0.3.2 py38h5ca1d4c_1000 conda-forge
## fastdtw 0.3.2 py39h9cd51e4_1002 conda-forge
## fastdtw 0.3.4 py310ha188af9_1 conda-forge
## fastdtw 0.3.4 py310ha188af9_2 conda-forge
## fastdtw 0.3.4 py36h9cf137f_0 conda-forge
## fastdtw 0.3.4 py36hdc2d08f_0 conda-forge
## fastdtw 0.3.4 py37h0a7177a_2 conda-forge
## fastdtw 0.3.4 py37h4c52d7d_1 conda-forge
## fastdtw 0.3.4 py37h5b6bc8d_0 conda-forge
## fastdtw 0.3.4 py37h5b6bc8d_1 conda-forge
## fastdtw 0.3.4 py37he01cfaa_0 conda-forge
## fastdtw 0.3.4 py38h5fd9f69_1 conda-forge
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## fastdtw 0.3.4 py38h9bb44b7_0 conda-forge
## fastdtw 0.3.4 py38hd172aab_2 conda-forge
## fastdtw 0.3.4 py39h71a6800_0 conda-forge
## fastdtw 0.3.4 py39h71a6800_1 conda-forge
## fastdtw 0.3.4 py39h71a6800_2 conda-forge
## fastdtw 0.3.4 py39h8b44f89_2 conda-forge
## fasten 0.1.13 0 bioconda
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## fasten 0.1.13 hfdfa6cd_2 bioconda
## fasten 0.2.2 ha5712d3_1 bioconda
## fasten 0.2.2 hfdfa6cd_0 bioconda
## fasten 0.4.1 ha5712d3_0 bioconda
## fasten 0.4.3 ha5712d3_0 bioconda
## fasten 0.4.4 ha5712d3_0 bioconda
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## fasteners 0.14.1 py27_1 conda-forge
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## fasteners 0.14.1 py35_1 conda-forge
## fasteners 0.14.1 py35_2 conda-forge
## fasteners 0.14.1 py36_2 conda-forge
## fasteners 0.14.1 py_3 conda-forge
## fasteners 0.14.1 py_3 pkgs/main
## fasteners 0.15 py_0 pkgs/main
## fasteners 0.16 pyhd3eb1b0_0 pkgs/main
## fasteners 0.16 pyhd8ed1ab_0 conda-forge
## fasteners 0.16.1 pyhd3eb1b0_0 pkgs/main
## fasteners 0.16.2 pyhd3eb1b0_0 pkgs/main
## fasteners 0.16.2 pyhd8ed1ab_0 conda-forge
## fasteners 0.16.3 pyhd3eb1b0_0 pkgs/main
## fasteners 0.16.3 pyhd8ed1ab_0 conda-forge
## fasteners 0.17.1 pyhd8ed1ab_0 conda-forge
## fasteners 0.17.2 pyhd8ed1ab_0 conda-forge
## fasteners 0.17.3 pyhd8ed1ab_0 conda-forge
## fastentrypoints 0.12 pyh9f0ad1d_0 conda-forge
## fastg2protlib 1.0.1 py_0 bioconda
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## fastimport 0.9.13 pyhd8ed1ab_0 conda-forge
## fastimport 0.9.14 pyhd8ed1ab_0 conda-forge
## fastindep 1.0.0 0 bioconda
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## fastindep 1.0.0 ha1b3eb9_2 bioconda
## fastindep 1.0.0 hb280591_3 bioconda
## fastindep 1.0.0 hcd10b59_4 bioconda
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## fastkit 0.1.4 pyhdfd78af_0 bioconda
## fastkit 1.0.0 pyhdfd78af_0 bioconda
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## fastkit 1.0.2 pyhdfd78af_0 bioconda
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## fastkml 0.11 py_1 conda-forge
## fastkml 0.12 pyhd8ed1ab_0 conda-forge
## fastlmm 0.2.24 py27_0 bioconda
## fastlmm 0.2.32 py27_0 bioconda
## fastlmm 0.2.32 py27_1 bioconda
## fastlmm 0.2.32 py27h41c5297_4 bioconda
## fastlmm 0.2.32 py27h6de7cb9_2 bioconda
## fastlmm 0.2.32 py27h977f496_5 bioconda
## fastlmm 0.2.32 py27hf160534_3 bioconda
## fastme 2.1.5 0 bioconda
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## fastmlst 0.0.4 py_0 bioconda
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## fastmlst 0.0.11 py_0 bioconda
## fastmlst 0.0.12 py_0 bioconda
## fastmlst 0.0.13 py_0 bioconda
## fastmlst 0.0.14 pyhdfd78af_0 bioconda
## fastmlst 0.0.15 pyhdfd78af_0 bioconda
## fastnml 2.0.0 pyhd8ed1ab_0 conda-forge
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## fastnumbers 2.0.5 py36h470a237_0 conda-forge
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## fastnumbers 2.1.0 py36h470a237_0 conda-forge
## fastnumbers 2.1.1 py27h0b31af3_1000 conda-forge
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## fastnumbers 2.1.1 py35h470a237_0 conda-forge
## fastnumbers 2.1.1 py36h0b31af3_1000 conda-forge
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## fastnumbers 2.1.1 py36h470a237_0 conda-forge
## fastnumbers 2.1.1 py37h0b31af3_1000 conda-forge
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## fastnumbers 2.1.1 py37h470a237_0 conda-forge
## fastnumbers 2.1.1 py38h0b31af3_1000 conda-forge
## fastnumbers 3.0.0 py36h37b9a7d_0 conda-forge
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## fastnumbers 3.1.0 py39h89e85a6_1 conda-forge
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## fastool 0.1.4 1 bioconda
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## fastool 0.1.4 h188c3c3_5 bioconda
## fastool 0.1.4 h1f540d2_6 bioconda
## fastool 0.1.4 ha92aebf_3 bioconda
## fastool 0.1.4 hbbe82c9_4 bioconda
## fastp 0.12.2 0 bioconda
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## fastp 0.13.1 0 bioconda
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## fastp 0.17.1 hd28b015_0 bioconda
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## fastp 0.19.5 hd28b015_0 bioconda
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## fastparquet 0.2.1 py27h1d22016_1 pkgs/main
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## fastremap 1.13.2 py310h5f0db6a_0 conda-forge
## fastremap 1.13.2 py37hc08ad63_0 conda-forge
## fastremap 1.13.2 py38h63108dd_0 conda-forge
## fastremap 1.13.2 py38h9f7ba88_0 conda-forge
## fastremap 1.13.2 py39hce1736a_0 conda-forge
## fastremap 1.13.2 py39hdd8ae6b_0 conda-forge
## fastremap 1.13.3 py310h93b02fd_0 conda-forge
## fastremap 1.13.3 py37h11936bc_0 conda-forge
## fastremap 1.13.3 py38h6d03169_0 conda-forge
## fastremap 1.13.3 py38hd400a9d_0 conda-forge
## fastremap 1.13.3 py39h66d191c_0 conda-forge
## fastremap 1.13.3 py39hdb5fc4b_0 conda-forge
## fastrlock 0.3 py27h0a44026_0 pkgs/main
## fastrlock 0.3 py35h0a44026_0 pkgs/main
## fastrlock 0.3 py36h0a44026_0 pkgs/main
## fastrlock 0.3 py37h0a44026_0 pkgs/main
## fastrlock 0.4 py27h0a44026_0 pkgs/main
## fastrlock 0.4 py27h0a44026_1000 conda-forge
## fastrlock 0.4 py27h4a8c4bd_1000 conda-forge
## fastrlock 0.4 py27hde1d37b_1001 conda-forge
## fastrlock 0.4 py27hfc679d8_0 conda-forge
## fastrlock 0.4 py35h0a44026_0 pkgs/main
## fastrlock 0.4 py35hfc679d8_0 conda-forge
## fastrlock 0.4 py36h0130604_1001 conda-forge
## fastrlock 0.4 py36h0a44026_0 pkgs/main
## fastrlock 0.4 py36h0a44026_1000 conda-forge
## fastrlock 0.4 py36h176e57e_1001 conda-forge
## fastrlock 0.4 py36h4a8c4bd_1000 conda-forge
## fastrlock 0.4 py36hfc679d8_0 conda-forge
## fastrlock 0.4 py37h0a44026_0 pkgs/main
## fastrlock 0.4 py37h0a44026_1000 conda-forge
## fastrlock 0.4 py37h4a8c4bd_1000 conda-forge
## fastrlock 0.4 py37h570ac47_1001 conda-forge
## fastrlock 0.4 py37hfc679d8_0 conda-forge
## fastrlock 0.4 py38h0a44026_0 pkgs/main
## fastrlock 0.4 py38h4a8c4bd_1000 conda-forge
## fastrlock 0.4 py38hc84c608_1001 conda-forge
## fastrlock 0.5 py310he9d5cce_0 pkgs/main
## fastrlock 0.5 py36h0130604_0 conda-forge
## fastrlock 0.5 py36h176e57e_0 conda-forge
## fastrlock 0.5 py36h22858aa_2 conda-forge
## fastrlock 0.5 py36h27176af_1 conda-forge
## fastrlock 0.5 py36h704b0d9_2 conda-forge
## fastrlock 0.5 py36hb1e8313_0 pkgs/main
## fastrlock 0.5 py36hf8241e8_1 conda-forge
## fastrlock 0.5 py37h0d3f06a_2 conda-forge
## fastrlock 0.5 py37h54c7649_2 conda-forge
## fastrlock 0.5 py37h570ac47_0 conda-forge
## fastrlock 0.5 py37hb1e8313_0 pkgs/main
## fastrlock 0.5 py37hdadc0f0_1 conda-forge
## fastrlock 0.5 py38h0a5c65b_2 conda-forge
## fastrlock 0.5 py38h11c0d25_1 conda-forge
## fastrlock 0.5 py38hb1e8313_0 pkgs/main
## fastrlock 0.5 py38hc84c608_0 conda-forge
## fastrlock 0.5 py39h81cd7d3_2 conda-forge
## fastrlock 0.5 py39ha36be7a_1 conda-forge
## fastrlock 0.5 py39hb1e8313_0 pkgs/main
## fastrlock 0.6 py36h23ab428_0 pkgs/main
## fastrlock 0.6 py36h8e3f739_0 conda-forge
## fastrlock 0.6 py36hefe7e0e_0 conda-forge
## fastrlock 0.6 py36hefe7e0e_1 conda-forge
## fastrlock 0.6 py37h23ab428_0 pkgs/main
## fastrlock 0.6 py37ha70e663_0 conda-forge
## fastrlock 0.6 py37ha70e663_1 conda-forge
## fastrlock 0.6 py37hd8d24ac_0 conda-forge
## fastrlock 0.6 py37hd8d24ac_1 conda-forge
## fastrlock 0.6 py38h23ab428_0 pkgs/main
## fastrlock 0.6 py38ha048514_0 conda-forge
## fastrlock 0.6 py38ha048514_1 conda-forge
## fastrlock 0.6 py39h23ab428_0 pkgs/main
## fastrlock 0.6 py39h9fcab8e_0 conda-forge
## fastrlock 0.6 py39h9fcab8e_1 conda-forge
## fastrlock 0.7 py37ha70e663_0 conda-forge
## fastrlock 0.7 py37hd8d24ac_0 conda-forge
## fastrlock 0.7 py38ha048514_0 conda-forge
## fastrlock 0.7 py39h9fcab8e_0 conda-forge
## fastrlock 0.8 py310h9d931ec_1 conda-forge
## fastrlock 0.8 py310h9d931ec_2 conda-forge
## fastrlock 0.8 py310hba3363e_1 conda-forge
## fastrlock 0.8 py37h0582d14_1 conda-forge
## fastrlock 0.8 py37h0582d14_2 conda-forge
## fastrlock 0.8 py37h3f48d28_1 conda-forge
## fastrlock 0.8 py37ha70e663_0 conda-forge
## fastrlock 0.8 py37ha70e663_1 conda-forge
## fastrlock 0.8 py37hd8d24ac_0 conda-forge
## fastrlock 0.8 py37hd8d24ac_1 conda-forge
## fastrlock 0.8 py38h038c8f4_1 conda-forge
## fastrlock 0.8 py38h038c8f4_2 conda-forge
## fastrlock 0.8 py38ha048514_0 conda-forge
## fastrlock 0.8 py38ha048514_1 conda-forge
## fastrlock 0.8 py38hf1f1e57_2 conda-forge
## fastrlock 0.8 py39h9dae540_2 conda-forge
## fastrlock 0.8 py39h9fcab8e_0 conda-forge
## fastrlock 0.8 py39h9fcab8e_1 conda-forge
## fastrlock 0.8 py39hfd1d529_1 conda-forge
## fastrlock 0.8 py39hfd1d529_2 conda-forge
## fastscape 0.1.0alpha py_0 conda-forge
## fastscape 0.1.0beta py_0 conda-forge
## fastscape 0.1.0beta3 pyhd8ed1ab_0 conda-forge
## fastscapelib 0.1.2 h2d50403_0 conda-forge
## fastscapelib 0.1.2 h2d50403_1 conda-forge
## fastscapelib 0.1.2 h2d50403_2 conda-forge
## fastscapelib 0.1.3 h04f5b5a_1000 conda-forge
## fastscapelib 0.1.3 h2d50403_0 conda-forge
## fastscapelib-f2py 2.7.0 py27h2cdb68b_0 conda-forge
## fastscapelib-f2py 2.7.0 py27h2cdb68b_1 conda-forge
## fastscapelib-f2py 2.7.0 py27hb7221d7_1 conda-forge
## fastscapelib-f2py 2.7.0 py36h2cdb68b_0 conda-forge
## fastscapelib-f2py 2.7.0 py36h2cdb68b_1 conda-forge
## fastscapelib-f2py 2.7.0 py36hb7221d7_1 conda-forge
## fastscapelib-f2py 2.7.0 py37h2cdb68b_0 conda-forge
## fastscapelib-f2py 2.7.0 py37h2cdb68b_1 conda-forge
## fastscapelib-f2py 2.7.0 py37hb7221d7_1 conda-forge
## fastscapelib-f2py 2.8.0 py27h2cdb68b_0 conda-forge
## fastscapelib-f2py 2.8.0 py27hb7221d7_0 conda-forge
## fastscapelib-f2py 2.8.0 py36h2cdb68b_0 conda-forge
## fastscapelib-f2py 2.8.0 py36hb7221d7_0 conda-forge
## fastscapelib-f2py 2.8.0 py37h2cdb68b_0 conda-forge
## fastscapelib-f2py 2.8.0 py37hb7221d7_0 conda-forge
## fastscapelib-f2py 2.8.1 py27h2cdb68b_0 conda-forge
## fastscapelib-f2py 2.8.1 py27hb7221d7_0 conda-forge
## fastscapelib-f2py 2.8.1 py36h2cdb68b_0 conda-forge
## fastscapelib-f2py 2.8.1 py36hb7221d7_0 conda-forge
## fastscapelib-f2py 2.8.1 py37h2cdb68b_0 conda-forge
## fastscapelib-f2py 2.8.1 py37hb7221d7_0 conda-forge
## fastscapelib-f2py 2.8.2 py310h55ae80b_4 conda-forge
## fastscapelib-f2py 2.8.2 py310hc854d1e_5 conda-forge
## fastscapelib-f2py 2.8.2 py310hff4b7ff_3 conda-forge
## fastscapelib-f2py 2.8.2 py36h46d3218_0 conda-forge
## fastscapelib-f2py 2.8.2 py36hb3cbd91_2 conda-forge
## fastscapelib-f2py 2.8.2 py36hee68370_1 conda-forge
## fastscapelib-f2py 2.8.2 py36hee68370_2 conda-forge
## fastscapelib-f2py 2.8.2 py37h061bdfa_0 conda-forge
## fastscapelib-f2py 2.8.2 py37h4b3b0b7_1 conda-forge
## fastscapelib-f2py 2.8.2 py37h4b3b0b7_2 conda-forge
## fastscapelib-f2py 2.8.2 py37h7493c67_5 conda-forge
## fastscapelib-f2py 2.8.2 py37h783e415_2 conda-forge
## fastscapelib-f2py 2.8.2 py37h78b68d3_4 conda-forge
## fastscapelib-f2py 2.8.2 py37hdbcca98_3 conda-forge
## fastscapelib-f2py 2.8.2 py38h3e668d5_2 conda-forge
## fastscapelib-f2py 2.8.2 py38h5e436db_4 conda-forge
## fastscapelib-f2py 2.8.2 py38h89bc976_5 conda-forge
## fastscapelib-f2py 2.8.2 py38h9d6d6d2_1 conda-forge
## fastscapelib-f2py 2.8.2 py38h9d6d6d2_2 conda-forge
## fastscapelib-f2py 2.8.2 py38hcf7560d_0 conda-forge
## fastscapelib-f2py 2.8.2 py38hdbaa049_3 conda-forge
## fastscapelib-f2py 2.8.2 py39h70c5cf5_3 conda-forge
## fastscapelib-f2py 2.8.2 py39h96cb1c3_2 conda-forge
## fastscapelib-f2py 2.8.2 py39h9d06488_5 conda-forge
## fastscapelib-f2py 2.8.2 py39ha6e528e_1 conda-forge
## fastscapelib-f2py 2.8.2 py39ha6e528e_2 conda-forge
## fastscapelib-f2py 2.8.2 py39hf53bdd5_4 conda-forge
## fastscapelib-python 0.1.2 py27hf8a1672_0 conda-forge
## fastscapelib-python 0.1.2 py27hf8a1672_1 conda-forge
## fastscapelib-python 0.1.2 py27hf8a1672_2 conda-forge
## fastscapelib-python 0.1.2 py35hf8a1672_0 conda-forge
## fastscapelib-python 0.1.2 py35hf8a1672_1 conda-forge
## fastscapelib-python 0.1.2 py35hf8a1672_2 conda-forge
## fastscapelib-python 0.1.2 py36hf8a1672_0 conda-forge
## fastscapelib-python 0.1.2 py36hf8a1672_1 conda-forge
## fastscapelib-python 0.1.2 py36hf8a1672_2 conda-forge
## fastscapelib-python 0.1.3 py27h1702cab_1000 conda-forge
## fastscapelib-python 0.1.3 py27hf8a1672_0 conda-forge
## fastscapelib-python 0.1.3 py35hf8a1672_0 conda-forge
## fastscapelib-python 0.1.3 py36h1702cab_1000 conda-forge
## fastscapelib-python 0.1.3 py36hf8a1672_0 conda-forge
## fastscapelib-python 0.1.3 py37h1702cab_1000 conda-forge
## fastsimbac 1.0.1_bd3ad13d8f79 h1935f66_1 bioconda
## fastsimbac 1.0.1_bd3ad13d8f79 h1d10ac9_3 bioconda
## fastsimbac 1.0.1_bd3ad13d8f79 h6dcb523_0 bioconda
## fastsimbac 1.0.1_bd3ad13d8f79 heb9f3b0_2 bioconda
## fastspar 0.0.6 0 bioconda
## fastspar 0.0.9 h719ae3a_0 bioconda
## fastspar 0.0.10 h7bf792f_0 bioconda
## fastspar 0.0.10 hbd37e43_0 bioconda
## fastspar 1.0.0 h45cf1e4_2 bioconda
## fastspar 1.0.0 h78172e5_0 bioconda
## fastspar 1.0.0 ha633943_3 bioconda
## fastspar 1.0.0 hd9a7add_1 bioconda
## fastsrm 0.0.3 pyhd8ed1ab_0 conda-forge
## fastsrm 0.0.4 pyhd8ed1ab_0 conda-forge
## faststructure 1.0 py27h1102388_5 bioconda
## faststructure 1.0 py27h24f85c7_3 bioconda
## faststructure 1.0 py27h41ccacd_2 bioconda
## faststructure 1.0 py27h549429d_0 bioconda
## faststructure 1.0 py27h5e764ef_1 bioconda
## faststructure 1.0 py27h7c389b3_4 bioconda
## fasttext 0.1.0 0 conda-forge
## fasttext 0.1.0 hfc679d8_0 conda-forge
## fasttext 0.2.0 hfc679d8_0 conda-forge
## fasttext 0.9.2 h879752b_0 conda-forge
## fasttext 0.9.2 h879752b_1 conda-forge
## fasttext 0.9.2 py310h2fea185_3 conda-forge
## fasttext 0.9.2 py310h6be76da_4 conda-forge
## fasttext 0.9.2 py36hc61eee1_2 conda-forge
## fasttext 0.9.2 py37h18621fa_4 conda-forge
## fasttext 0.9.2 py37h737db71_2 conda-forge
## fasttext 0.9.2 py37h737db71_3 conda-forge
## fasttext 0.9.2 py37h7642297_2 conda-forge
## fasttext 0.9.2 py37h7642297_3 conda-forge
## fasttext 0.9.2 py38h12bbefe_2 conda-forge
## fasttext 0.9.2 py38h12bbefe_3 conda-forge
## fasttext 0.9.2 py38h8b7791e_4 conda-forge
## fasttext 0.9.2 py38hf51e4bd_4 conda-forge
## fasttext 0.9.2 py39h7248d28_4 conda-forge
## fasttext 0.9.2 py39hb52e438_4 conda-forge
## fasttext 0.9.2 py39he3ef294_2 conda-forge
## fasttext 0.9.2 py39hf018cea_2 conda-forge
## fasttext 0.9.2 py39hf018cea_3 conda-forge
## fasttree 2.1.9 1 bioconda
## fasttree 2.1.9 2 bioconda
## fasttree 2.1.10 0 bioconda
## fasttree 2.1.10 h0b31af3_4 bioconda
## fasttree 2.1.10 h1de35cc_3 bioconda
## fasttree 2.1.10 h470a237_2 bioconda
## fasttree 2.1.10 hb4d813b_5 bioconda
## fasttree 2.1.10 hb4d813b_6 bioconda
## fasttree 2.1.11 hb4d813b_0 bioconda
## fasttree 2.1.11 hdcdfbac_1 bioconda
## fasttreeshap 0.1.2 py310h35d4979_1 conda-forge
## fasttreeshap 0.1.2 py37h5162d28_0 conda-forge
## fasttreeshap 0.1.2 py37h5162d28_1 conda-forge
## fasttreeshap 0.1.2 py38h16b5ffd_0 conda-forge
## fasttreeshap 0.1.2 py38h16b5ffd_1 conda-forge
## fasttreeshap 0.1.2 py39h1c15abb_0 conda-forge
## fasttreeshap 0.1.2 py39h1c15abb_1 conda-forge
## fasttsne 0.2.7 py36h7eb728f_0 conda-forge
## fasttsne 0.2.7 py36h7eb728f_1 conda-forge
## fasttsne 0.2.9 py36h7eb728f_0 conda-forge
## fasttsne 0.2.10 py36h7eb728f_0 conda-forge
## fasttsne 0.2.11 py36h7eb728f_0 conda-forge
## fasttsne 0.2.12 py36h7eb728f_0 conda-forge
## fasttsne 0.2.13 py36h1d22016_1 pkgs/main
## fasttsne 0.2.13 py36h7eb728f_0 conda-forge
## fasttsne 0.2.13 py36h7eb728f_1 conda-forge
## fasttsne 0.2.13 py36h917ab60_1 conda-forge
## fasttsne 0.2.13 py37h1d22016_1 pkgs/main
## fasttsne 0.2.13 py37h7eb728f_1 conda-forge
## fasttsne 0.2.13 py37h917ab60_1 conda-forge
## fasttsne 0.2.16 py36h1702cab_0 conda-forge
## fasttsne 0.2.16 py36h1702cab_1 conda-forge
## fasttsne 0.2.16 py36he2f6252_0 conda-forge
## fasttsne 0.2.16 py36hf8a1672_1 conda-forge
## fasttsne 0.2.16 py37h1702cab_0 conda-forge
## fasttsne 0.2.16 py37h1702cab_1 conda-forge
## fasttsne 0.2.16 py37hf8a1672_1 conda-forge
## fastuniq 1.1 0 bioconda
## fastutils 0.1 h2dec4b4_0 bioconda
## fastutils 0.2 h2dec4b4_0 bioconda
## fastutils 0.3 h2dec4b4_0 bioconda
## fastutils 0.3 h6151dfb_2 bioconda
## fastutils 0.3 h87af4ef_1 bioconda
## fastv 0.8.1 h6151dfb_2 bioconda
## fastv 0.8.1 h7475705_0 bioconda
## fastv 0.8.1 h87af4ef_1 bioconda
## fastwsgi 0.0.5 py310he24745e_1 conda-forge
## fastwsgi 0.0.5 py37h271585c_0 conda-forge
## fastwsgi 0.0.5 py37h271585c_1 conda-forge
## fastwsgi 0.0.5 py38h96a0964_0 conda-forge
## fastwsgi 0.0.5 py38h96a0964_1 conda-forge
## fastwsgi 0.0.5 py39h89e85a6_0 conda-forge
## fastwsgi 0.0.5 py39h89e85a6_1 conda-forge
## fastwsgi 0.0.6 py310h1961e1f_0 conda-forge
## fastwsgi 0.0.6 py310h1961e1f_1 conda-forge
## fastwsgi 0.0.6 py37h69ee0a8_0 conda-forge
## fastwsgi 0.0.6 py37h69ee0a8_1 conda-forge
## fastwsgi 0.0.6 py38h4b8594d_1 conda-forge
## fastwsgi 0.0.6 py38hed1de0f_0 conda-forge
## fastwsgi 0.0.6 py38hed1de0f_1 conda-forge
## fastwsgi 0.0.6 py39h1252d8e_1 conda-forge
## fastwsgi 0.0.6 py39h63b48b0_0 conda-forge
## fastwsgi 0.0.6 py39h63b48b0_1 conda-forge
## fastx_toolkit 0.0.14 1 bioconda
## fastx_toolkit 0.0.14 2 bioconda
## fastx_toolkit 0.0.14 3 bioconda
## fastx_toolkit 0.0.14 h589c0e0_9 bioconda
## fastx_toolkit 0.0.14 h6de7cb9_8 bioconda
## fastx_toolkit 0.0.14 pl5.22.0_4 bioconda
## fastx_toolkit 0.0.14 pl5.22.0_5 biocondaUse conda to search for the ‘fastqc’ package in the bioconda channel:
bash
conda search --channel bioconda fastqc## Loading channels: ...working... done
## # Name Version Build Channel
## fastqc 0.10.1 0 bioconda
## fastqc 0.10.1 1 bioconda
## fastqc 0.11.2 1 bioconda
## fastqc 0.11.2 pl5.22.0_0 bioconda
## fastqc 0.11.3 0 bioconda
## fastqc 0.11.3 1 bioconda
## fastqc 0.11.4 1 bioconda
## fastqc 0.11.4 2 bioconda
## fastqc 0.11.5 1 bioconda
## fastqc 0.11.5 4 bioconda
## fastqc 0.11.5 hdfd78af_5 bioconda
## fastqc 0.11.5 pl5.22.0_2 bioconda
## fastqc 0.11.5 pl5.22.0_3 bioconda
## fastqc 0.11.6 2 bioconda
## fastqc 0.11.6 pl5.22.0_0 bioconda
## fastqc 0.11.6 pl5.22.0_1 bioconda
## fastqc 0.11.7 4 bioconda
## fastqc 0.11.7 5 bioconda
## fastqc 0.11.7 6 bioconda
## fastqc 0.11.7 hdfd78af_7 bioconda
## fastqc 0.11.7 pl5.22.0_0 bioconda
## fastqc 0.11.7 pl5.22.0_2 bioconda
## fastqc 0.11.8 0 bioconda
## fastqc 0.11.8 1 bioconda
## fastqc 0.11.8 2 bioconda
## fastqc 0.11.9 0 bioconda
## fastqc 0.11.9 hdfd78af_1 biocondaIn some cases it can be easier to search for a package on the channel website. For the bioconda channel, the package index is available here.
3.6 Installing and updating packages
Environments are not static installations - you can install and update packages as much as you want within them. Very rarely will you create an environment with the exact collection of software and versions required for your project. Instead, you will often go through a process of installing, updating, and removing packages as you determine which are actually needed. The important thing to remember is that once you have finished configuring your environment, save a copy of the environment to a text file for reproducibility.
Activate the ‘bioinfo’ environment:
bash
conda activate bioinfoInstall the ‘cutadapt’ package:
bash
conda install --yes cutadapt## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
## Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source.
## Collecting package metadata (repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bioinfo
##
## added / updated specs:
## - cutadapt
##
##
## The following NEW packages will be INSTALLED:
##
## cutadapt bioconda/osx-64::cutadapt-3.5-py36hb5a9481_1
## dataclasses conda-forge/noarch::dataclasses-0.8-pyh787bdff_2
## dnaio bioconda/osx-64::dnaio-0.6.0-py36ha714b87_0
## pigz conda-forge/osx-64::pigz-2.6-h5dbffcc_0
## xopen conda-forge/osx-64::xopen-1.1.0-py36h79c6626_0
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## Retrieving notices: ...working... doneTry to update the ‘cutadapt’ package:
bash
conda update --yes cutadapt## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## # All requested packages already installed.
##
## Retrieving notices: ...working... doneRemove the ‘cutadapt’ package:
bash
conda remove --yes cutadapt## Collecting package metadata (repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bioinfo
##
## removed specs:
## - cutadapt
##
##
## The following packages will be REMOVED:
##
## cutadapt-3.5-py36hb5a9481_1
## dataclasses-0.8-pyh787bdff_2
## dnaio-0.6.0-py36ha714b87_0
## lerc-3.0-he49afe7_0
## libdeflate-1.10-h0d85af4_0
## pigz-2.6-h5dbffcc_0
## xopen-1.1.0-py36h79c6626_0
##
## The following packages will be UPDATED:
##
## pip 21.2.4-pyhd8ed1ab_0 --> 21.3.1-pyhd8ed1ab_0
## setuptools 49.6.0-py36h79c6626_3 --> 58.0.4-py36h79c6626_2
##
## The following packages will be DOWNGRADED:
##
## libtiff 4.3.0-hfca7e8f_4 --> 4.2.0-h1167814_3
## pillow 8.3.2-py36h950f3bb_0 --> 8.2.0-py36h154fef6_1
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... doneDeactivate the environment:
bash
conda deactivate3.7 Specifying version numbers
Usually you will want to install the latest version of a software package. The latest version typically has more features and any minor bugs will have probably been fixed. However, sometimes you may be required to install a specific version - perhaps even a very old version - because it is the only version compatible with some other piece of software you need to have installed. For example, a software package may be dependent on an older version of a library and hasn’t yet been updated to work with the newer version. To install a specific version of some software, simply write the name of the software followed by a logical operator and then the version number.
Create a new environment with the latest Python installed:
bash
conda create --yes --name pyenv python## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/pyenv
##
## added / updated specs:
## - python
##
##
## The following NEW packages will be INSTALLED:
##
## bzip2 conda-forge/osx-64::bzip2-1.0.8-h0d85af4_4
## ca-certificates conda-forge/osx-64::ca-certificates-2022.9.14-h033912b_0
## libffi conda-forge/osx-64::libffi-3.4.2-h0d85af4_5
## libsqlite conda-forge/osx-64::libsqlite-3.39.3-ha978bb4_0
## libzlib conda-forge/osx-64::libzlib-1.2.12-hfd90126_3
## ncurses conda-forge/osx-64::ncurses-6.3-h96cf925_1
## openssl conda-forge/osx-64::openssl-3.0.5-hfd90126_2
## pip conda-forge/noarch::pip-22.2.2-pyhd8ed1ab_0
## python conda-forge/osx-64::python-3.10.6-hc14f532_0_cpython
## readline conda-forge/osx-64::readline-8.1.2-h3899abd_0
## setuptools conda-forge/noarch::setuptools-65.3.0-pyhd8ed1ab_1
## tk conda-forge/osx-64::tk-8.6.12-h5dbffcc_0
## tzdata conda-forge/noarch::tzdata-2022c-h191b570_0
## wheel conda-forge/noarch::wheel-0.37.1-pyhd8ed1ab_0
## xz conda-forge/osx-64::xz-5.2.6-h775f41a_0
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## #
## # To activate this environment, use
## #
## # $ conda activate pyenv
## #
## # To deactivate an active environment, use
## #
## # $ conda deactivate
##
## Retrieving notices: ...working... doneActivate the new ‘pyenv’ environment:
bash
conda activate pyenvInstall Python version 3.6:
bash
# Fuzzy matching
conda install --yes python=3.6 # 3.6.0, 3.6.1, 3.6.2, etc.## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/pyenv
##
## added / updated specs:
## - python=3.6
##
##
## The following NEW packages will be INSTALLED:
##
## certifi conda-forge/osx-64::certifi-2016.9.26-py36_0
## libcxx conda-forge/osx-64::libcxx-14.0.6-hccf4f1f_0
## python_abi conda-forge/osx-64::python_abi-3.6-2_cp36m
## sqlite conda-forge/osx-64::sqlite-3.39.3-h9ae0607_0
##
## The following packages will be SUPERSEDED by a higher-priority channel:
##
## setuptools conda-forge/noarch::setuptools-65.3.0~ --> conda-forge/osx-64::setuptools-49.6.0-py36h79c6626_3
##
## The following packages will be DOWNGRADED:
##
## openssl 3.0.5-hfd90126_2 --> 1.1.1q-hfe4f2af_0
## pip 22.2.2-pyhd8ed1ab_0 --> 21.2.4-pyhd8ed1ab_0
## python 3.10.6-hc14f532_0_cpython --> 3.6.15-haf480d7_0_cpython
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## Retrieving notices: ...working... doneInstall Python version 3.8.5:
bash
# Exact matching
conda install --yes python==3.8.5 # 3.8.5## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
## Collecting package metadata (repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/pyenv
##
## added / updated specs:
## - python==3.8.5
##
##
## The following NEW packages will be INSTALLED:
##
## zlib conda-forge/osx-64::zlib-1.2.12-hfd90126_3
##
## The following packages will be UPDATED:
##
## certifi conda-forge/osx-64::certifi-2016.9.26~ --> conda-forge/noarch::certifi-2022.9.14-pyhd8ed1ab_0
## python 3.6.15-haf480d7_0_cpython --> 3.8.5-h0ed32c4_9_cpython
## python_abi 3.6-2_cp36m --> 3.8-2_cp38
## setuptools conda-forge/osx-64::setuptools-49.6.0~ --> conda-forge/noarch::setuptools-65.3.0-pyhd8ed1ab_1
##
## The following packages will be DOWNGRADED:
##
## libffi 3.4.2-h0d85af4_5 --> 3.2.1-hb1e8313_1007
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## Retrieving notices: ...working... doneInstall Python version 3.6.5 or greater:
bash
# Greater than or equal to matching
conda install --yes "python>=3.6.5" # 3.6.5, 3.6.6, 3.6.7, etc.## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## # All requested packages already installed.
##
## Retrieving notices: ...working... doneInstall Python version 3.8.5 or 3.9.6:
bash
# Logical OR operator matching
conda install --yes "python=3.8.5|3.9.6" # 3.8.5, 3.9.6## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## # All requested packages already installed.
##
## Retrieving notices: ...working... doneInstall any Python version between 3.8.0 and 3.10.0:
bash
# Logical AND operator matching
conda install "python>=3.8|3.10" # 3.8, 3.9, not 3.10## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## # All requested packages already installed.
##
## Retrieving notices: ...working... doneDeactivate the environment:
bash
conda deactivate4 Exercises
The exercises below are intended to test your knowledge of using conda for package management. The solution to each exercise is blurred, only after attempting to solve the exercise yourself should you look at the solution. Should you need any help, please ask one of the instructors.
4.1 Exercise 1
Create a new environment named bio-qc with python version 3.6.5 and the following bioinformatics software used for quality control of sequencing reads:
- cutadapt
- fastqc
- seqkit
bash
conda create --yes --name bio-qc python=3.6.5 cutadapt fastqc seqkit## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source.
## Collecting package metadata (repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bio-qc
##
## added / updated specs:
## - cutadapt
## - fastqc
## - python=3.6.5
## - seqkit
##
##
## The following NEW packages will be INSTALLED:
##
## bzip2 conda-forge/osx-64::bzip2-1.0.8-h0d85af4_4
## ca-certificates conda-forge/osx-64::ca-certificates-2022.9.14-h033912b_0
## cutadapt bioconda/osx-64::cutadapt-3.5-py36hb5a9481_1
## dataclasses conda-forge/noarch::dataclasses-0.8-pyh787bdff_2
## dnaio bioconda/osx-64::dnaio-0.6.0-py36ha714b87_0
## expat conda-forge/osx-64::expat-2.4.9-hf0c8a7f_0
## fastqc bioconda/noarch::fastqc-0.11.9-hdfd78af_1
## font-ttf-dejavu-s~ conda-forge/noarch::font-ttf-dejavu-sans-mono-2.37-hab24e00_0
## fontconfig conda-forge/osx-64::fontconfig-2.14.0-h676cef8_0
## freetype conda-forge/osx-64::freetype-2.10.4-h4cff582_1
## isa-l conda-forge/osx-64::isa-l-2.30.0-h0d85af4_4
## libcxx conda-forge/osx-64::libcxx-14.0.6-hccf4f1f_0
## libpng conda-forge/osx-64::libpng-1.6.37-h7cec526_2
## libzlib conda-forge/osx-64::libzlib-1.2.11-h6c3fc93_1014
## ncurses conda-forge/osx-64::ncurses-6.3-h96cf925_1
## openjdk conda-forge/osx-64::openjdk-11.0.9.1-h2292cb8_3
## openssl conda-forge/osx-64::openssl-1.0.2u-h0b31af3_0
## pbzip2 conda-forge/osx-64::pbzip2-1.1.13-h9d27c22_1
## perl conda-forge/osx-64::perl-5.32.1-2_h0d85af4_perl5
## pigz conda-forge/osx-64::pigz-2.6-h5dbffcc_0
## pip conda-forge/noarch::pip-21.3.1-pyhd8ed1ab_0
## python conda-forge/osx-64::python-3.6.5-1
## python-isal conda-forge/osx-64::python-isal-0.11.1-py36hfa26744_0
## python_abi conda-forge/osx-64::python_abi-3.6-2_cp36m
## readline conda-forge/osx-64::readline-7.0-hcfe32e1_1001
## seqkit bioconda/osx-64::seqkit-2.3.1-h527b516_0
## setuptools conda-forge/osx-64::setuptools-58.0.4-py36h79c6626_2
## sqlite conda-forge/osx-64::sqlite-3.20.1-0
## tk conda-forge/osx-64::tk-8.6.12-h5dbffcc_0
## wheel conda-forge/noarch::wheel-0.37.1-pyhd8ed1ab_0
## xopen conda-forge/osx-64::xopen-1.2.0-py36h79c6626_0
## xz conda-forge/osx-64::xz-5.2.6-h775f41a_0
## zlib conda-forge/osx-64::zlib-1.2.11-h6c3fc93_1014
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## #
## # To activate this environment, use
## #
## # $ conda activate bio-qc
## #
## # To deactivate an active environment, use
## #
## # $ conda deactivate
##
## Retrieving notices: ...working... done4.2 Exercise 2
Create a new environment named bio-align with the latest python version and the following bioinformatics software used for alignment of sequencing reads:
- bwa (version greater than or equal to 0.7.4)
- bowtie2 version (version 2.3.5 or 2.4.1)
bash
conda create --yes --name bio-align "bwa>=0.7.4" "bowtie2=2.3.5|2.4.1"## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bio-align
##
## added / updated specs:
## - bowtie2[version='=2.3.5|2.4.1']
## - bwa[version='>=0.7.4']
##
##
## The following NEW packages will be INSTALLED:
##
## bowtie2 bioconda/osx-64::bowtie2-2.3.5.1-py37h2dec4b4_0
## bwa bioconda/osx-64::bwa-0.7.17-h1f540d2_9
## ca-certificates conda-forge/osx-64::ca-certificates-2022.9.14-h033912b_0
## libcxx conda-forge/osx-64::libcxx-14.0.6-hccf4f1f_0
## libffi conda-forge/osx-64::libffi-3.4.2-h0d85af4_5
## libsqlite conda-forge/osx-64::libsqlite-3.39.3-ha978bb4_0
## libzlib conda-forge/osx-64::libzlib-1.2.12-hfd90126_3
## ncurses conda-forge/osx-64::ncurses-6.3-h96cf925_1
## openssl conda-forge/osx-64::openssl-3.0.5-hfd90126_2
## perl conda-forge/osx-64::perl-5.32.1-2_h0d85af4_perl5
## pip conda-forge/noarch::pip-22.2.2-pyhd8ed1ab_0
## python conda-forge/osx-64::python-3.7.12-hf3644f1_100_cpython
## python_abi conda-forge/osx-64::python_abi-3.7-2_cp37m
## readline conda-forge/osx-64::readline-8.1.2-h3899abd_0
## setuptools conda-forge/osx-64::setuptools-65.3.0-py37hf985489_0
## sqlite conda-forge/osx-64::sqlite-3.39.3-h9ae0607_0
## tbb conda-forge/osx-64::tbb-2020.2-h940c156_4
## tk conda-forge/osx-64::tk-8.6.12-h5dbffcc_0
## wheel conda-forge/noarch::wheel-0.37.1-pyhd8ed1ab_0
## xz conda-forge/osx-64::xz-5.2.6-h775f41a_0
## zlib conda-forge/osx-64::zlib-1.2.12-hfd90126_3
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## #
## # To activate this environment, use
## #
## # $ conda activate bio-align
## #
## # To deactivate an active environment, use
## #
## # $ conda deactivate
##
## Retrieving notices: ...working... doneAfter creating the environment, install version 2.4.4 of bowtie2 instead:
bash
conda install --yes --name bio-align bowtie2==2.4.4## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
## Collecting package metadata (repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bio-align
##
## added / updated specs:
## - bowtie2==2.4.4
##
##
## The following NEW packages will be INSTALLED:
##
## zstd conda-forge/osx-64::zstd-1.5.2-hfa58983_4
##
## The following packages will be UPDATED:
##
## bowtie2 2.3.5.1-py37h2dec4b4_0 --> 2.4.4-py37h0a8ed89_1
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## Retrieving notices: ...working... done4.3 Exercise 3
Create a new environment named bio-quant with python version 3.7 and the following bioinformatics software typically used for quantification of aligned sequencing reads:
- bedtools (version 2.25.0)
- samtools (version greater than or equal to 1.3.1)
- subread (version 2.0.0 or 2.0.1)
bash
conda create --yes --name bio-quant python=3.7 bedtools==2.25.0 "samtools>=1.3.1" "subread=2.0.0|2.0.1"## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source.
## Collecting package metadata (repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bio-quant
##
## added / updated specs:
## - bedtools==2.25.0
## - python=3.7
## - samtools[version='>=1.3.1']
## - subread[version='=2.0.0|2.0.1']
##
##
## The following NEW packages will be INSTALLED:
##
## bedtools bioconda/osx-64::bedtools-2.25.0-h5c9b4e4_5
## bzip2 conda-forge/osx-64::bzip2-1.0.8-h0d85af4_4
## c-ares conda-forge/osx-64::c-ares-1.18.1-h0d85af4_0
## ca-certificates conda-forge/osx-64::ca-certificates-2022.9.14-h033912b_0
## htslib bioconda/osx-64::htslib-1.16-h567f53e_0
## krb5 conda-forge/osx-64::krb5-1.19.3-hb98e516_0
## libcurl conda-forge/osx-64::libcurl-7.83.1-h23f1065_0
## libcxx conda-forge/osx-64::libcxx-14.0.6-hccf4f1f_0
## libdeflate conda-forge/osx-64::libdeflate-1.13-h775f41a_0
## libedit conda-forge/osx-64::libedit-3.1.20191231-h0678c8f_2
## libev conda-forge/osx-64::libev-4.33-haf1e3a3_1
## libffi conda-forge/osx-64::libffi-3.4.2-h0d85af4_5
## libnghttp2 conda-forge/osx-64::libnghttp2-1.47.0-h5aae05b_1
## libsqlite conda-forge/osx-64::libsqlite-3.39.3-ha978bb4_0
## libssh2 conda-forge/osx-64::libssh2-1.10.0-h47af595_3
## libzlib conda-forge/osx-64::libzlib-1.2.12-hfd90126_3
## ncurses conda-forge/osx-64::ncurses-6.3-h96cf925_1
## openssl conda-forge/osx-64::openssl-3.0.5-hfd90126_2
## pip conda-forge/noarch::pip-22.2.2-pyhd8ed1ab_0
## python conda-forge/osx-64::python-3.7.12-hf3644f1_100_cpython
## python_abi conda-forge/osx-64::python_abi-3.7-2_cp37m
## readline conda-forge/osx-64::readline-8.1.2-h3899abd_0
## samtools bioconda/osx-64::samtools-1.15.1-h7e39424_1
## setuptools conda-forge/osx-64::setuptools-65.3.0-py37hf985489_0
## sqlite conda-forge/osx-64::sqlite-3.39.3-h9ae0607_0
## subread bioconda/osx-64::subread-2.0.1-h188c3c3_1
## tk conda-forge/osx-64::tk-8.6.12-h5dbffcc_0
## wheel conda-forge/noarch::wheel-0.37.1-pyhd8ed1ab_0
## xz conda-forge/osx-64::xz-5.2.6-h775f41a_0
## zlib conda-forge/osx-64::zlib-1.2.12-hfd90126_3
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## #
## # To activate this environment, use
## #
## # $ conda activate bio-quant
## #
## # To deactivate an active environment, use
## #
## # $ conda deactivate
##
## Retrieving notices: ...working... doneAfter creating the environment, make an exact copy called bio-quant2:
bash
conda create --yes --clone bio-quant --name bio-quant2## Source: /opt/miniconda3/envs/bio-quant
## Destination: /opt/miniconda3/envs/bio-quant2
## Packages: 30
## Files: 0
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## #
## # To activate this environment, use
## #
## # $ conda activate bio-quant2
## #
## # To deactivate an active environment, use
## #
## # $ conda deactivate
##
## Retrieving notices: ...working... doneNext, install version 2.30.0 of bedtools into the bio-quant2 environment instead:
bash
conda install --yes --name bio-quant2 bowtie2==2.4.4## Collecting package metadata (current_repodata.json): ...working... done
## Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
## Collecting package metadata (repodata.json): ...working... done
## Solving environment: ...working... done
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bio-quant2
##
## added / updated specs:
## - bowtie2==2.4.4
##
##
## The following NEW packages will be INSTALLED:
##
## bowtie2 bioconda/osx-64::bowtie2-2.4.4-py37h0a8ed89_1
## perl conda-forge/osx-64::perl-5.32.1-2_h0d85af4_perl5
## tbb conda-forge/osx-64::tbb-2020.2-h940c156_4
## zstd conda-forge/osx-64::zstd-1.5.2-hfa58983_4
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done
## Retrieving notices: ...working... doneFinally, delete the bio-quant environment and everything in it:
bash
conda remove --yes --name bio-quant --all##
## Remove all packages in environment /opt/miniconda3/envs/bio-quant:
##
##
## ## Package Plan ##
##
## environment location: /opt/miniconda3/envs/bio-quant
##
##
## The following packages will be REMOVED:
##
## bedtools-2.25.0-h5c9b4e4_5
## bzip2-1.0.8-h0d85af4_4
## c-ares-1.18.1-h0d85af4_0
## ca-certificates-2022.9.14-h033912b_0
## htslib-1.16-h567f53e_0
## krb5-1.19.3-hb98e516_0
## libcurl-7.83.1-h23f1065_0
## libcxx-14.0.6-hccf4f1f_0
## libdeflate-1.13-h775f41a_0
## libedit-3.1.20191231-h0678c8f_2
## libev-4.33-haf1e3a3_1
## libffi-3.4.2-h0d85af4_5
## libnghttp2-1.47.0-h5aae05b_1
## libsqlite-3.39.3-ha978bb4_0
## libssh2-1.10.0-h47af595_3
## libzlib-1.2.12-hfd90126_3
## ncurses-6.3-h96cf925_1
## openssl-3.0.5-hfd90126_2
## pip-22.2.2-pyhd8ed1ab_0
## python-3.7.12-hf3644f1_100_cpython
## python_abi-3.7-2_cp37m
## readline-8.1.2-h3899abd_0
## samtools-1.15.1-h7e39424_1
## setuptools-65.3.0-py37hf985489_0
## sqlite-3.39.3-h9ae0607_0
## subread-2.0.1-h188c3c3_1
## tk-8.6.12-h5dbffcc_0
## wheel-0.37.1-pyhd8ed1ab_0
## xz-5.2.6-h775f41a_0
## zlib-1.2.12-hfd90126_3
##
##
## Preparing transaction: ...working... done
## Verifying transaction: ...working... done
## Executing transaction: ...working... done